{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chest X-Ray Medical Diagnosis with Deep Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FZYK-0rin5x7"
   },
   "source": [
    "<img src=\"xray-header-image.png\" style=\"padding-top: 50px;width: 87%;left: 0px;margin-left: 0px;margin-right: 0px;\">\n",
    "\n",
    "__Welcome to the first assignment of course 1!__ \n",
    "\n",
    "In this assignment! You will explore medical image diagnosis by building a state-of-the-art chest X-ray classifier using Keras. \n",
    "\n",
    "The assignment will walk through some of the steps of building and evaluating this deep learning classifier model. In particular, you will:\n",
    "- Pre-process and prepare a real-world X-ray dataset\n",
    "- Use transfer learning to retrain a DenseNet model for X-ray image classification\n",
    "- Learn a technique to handle class imbalance\n",
    "- Measure diagnostic performance by computing the AUC (Area Under the Curve) for the ROC (Receiver Operating Characteristic) curve\n",
    "- Visualize model activity using GradCAMs\n",
    "\n",
    "In completing this assignment you will learn about the following topics: \n",
    "\n",
    "- Data preparation\n",
    "  - Visualizing data\n",
    "  - Preventing data leakage\n",
    "- Model Development\n",
    "  - Addressing class imbalance\n",
    "  - Leveraging pre-trained models using transfer learning\n",
    "- Evaluation\n",
    "  - AUC and ROC curves"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outline\n",
    "Use these links to jump to specific sections of this assignment!\n",
    "\n",
    "- [1. Import Packages and Function](#1)\n",
    "- [2. Load the Datasets](#2)\n",
    "    - [2.1 Preventing Data Leakage](#2-1)\n",
    "        - [Exercise 1 - Checking Data Leakage](#Ex-1)\n",
    "    - [2.2 Preparing Images](#2-2)\n",
    "- [3. Model Development](#3)\n",
    "    - [3.1 Addressing Class Imbalance](#3-1)\n",
    "        - [Exercise 2 - Computing Class Frequencies](#Ex-2)\n",
    "        - [Exercise 3 - Weighted Loss](#Ex-3)\n",
    "    - [3.3 DenseNet121](#3-3)\n",
    "- [4. Training [optional]](#4)\n",
    "    - [4.1 Training on the Larger Dataset](#4-1)\n",
    "- [5. Prediction and Evaluation](#5)\n",
    "    - [5.1 ROC Curve and AUROC](#5-1)\n",
    "    - [5.2 Visualizing Learning with GradCAM](#5-2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "XI8PBrk_2Z4V"
   },
   "source": [
    "<a name='1'></a>\n",
    "## 1. Import Packages and Functions¶\n",
    "\n",
    "We'll make use of the following packages:\n",
    "- `numpy` and `pandas` is what we'll use to manipulate our data\n",
    "- `matplotlib.pyplot` and `seaborn` will be used to produce plots for visualization\n",
    "- `util` will provide the locally defined utility functions that have been provided for this assignment\n",
    "\n",
    "We will also use several modules from the `keras` framework for building deep learning models.\n",
    "\n",
    "Run the next cell to import all the necessary packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Je3yV0Wnn5x8",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.applications.densenet import DenseNet121\n",
    "from keras.layers import Dense, GlobalAveragePooling2D\n",
    "from keras.models import Model\n",
    "from keras import backend as K\n",
    "\n",
    "from keras.models import load_model\n",
    "\n",
    "import util"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "6PMDCWQRn5yA"
   },
   "source": [
    "<a name='2'></a>\n",
    "## 2 Load the Datasets\n",
    "\n",
    "For this assignment, we will be using the [ChestX-ray8 dataset](https://arxiv.org/abs/1705.02315) which contains 108,948 frontal-view X-ray images of 32,717 unique patients. \n",
    "- Each image in the data set contains multiple text-mined labels identifying 14 different pathological conditions. \n",
    "- These in turn can be used by physicians to diagnose 8 different diseases. \n",
    "- We will use this data to develop a single model that will provide binary classification predictions for each of the 14 labeled pathologies. \n",
    "- In other words it will predict 'positive' or 'negative' for each of the pathologies.\n",
    " \n",
    "You can download the entire dataset for free [here](https://nihcc.app.box.com/v/ChestXray-NIHCC). \n",
    "- We have provided a ~1000 image subset of the images for you.\n",
    "- These can be accessed in the folder path stored in the `IMAGE_DIR` variable.\n",
    "\n",
    "The dataset includes a CSV file that provides the labels for each X-ray. \n",
    "\n",
    "To make your job a bit easier, we have processed the labels for our small sample and generated three new files to get you started. These three files are:\n",
    "\n",
    "1. `nih/train-small.csv`: 875 images from our dataset to be used for training.\n",
    "1. `nih/valid-small.csv`: 109 images from our dataset to be used for validation.\n",
    "1. `nih/test.csv`: 420 images from our dataset to be used for testing. \n",
    "\n",
    "This dataset has been annotated by consensus among four different radiologists for 5 of our 14 pathologies:\n",
    "- `Consolidation`\n",
    "- `Edema`\n",
    "- `Effusion`\n",
    "- `Cardiomegaly`\n",
    "- `Atelectasis`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sidebar on meaning of 'class'\n",
    "It is worth noting that the word **'class'** is used in multiple ways is these discussions. \n",
    "- We sometimes refer to each of the 14 pathological conditions that are labeled in our dataset as a class. \n",
    "- But for each of those pathologies we are attempting to predict whether a certain condition is present (i.e. positive result) or absent (i.e. negative result). \n",
    "    - These two possible labels of 'positive' or 'negative' (or the numerical equivalent of 1 or 0) are also typically referred to as classes. \n",
    "- Moreover, we also use the term in reference to software code 'classes' such as `ImageDataGenerator`.\n",
    "\n",
    "As long as you are aware of all this though, it should not cause you any confusion as the term 'class' is usually clear from the context in which it is used."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read in the data\n",
    "Let's open these files using the [pandas](https://pandas.pydata.org/) library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 224
    },
    "colab_type": "code",
    "id": "5JRSHB7i0t_6",
    "outputId": "69830050-af47-4ebc-946d-d411d0cbdf5b"
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Image</th>\n",
       "      <th>Atelectasis</th>\n",
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       "              Image  Atelectasis  Cardiomegaly  Consolidation  Edema  \\\n",
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       "\n",
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       "0         0          0         0       0             0     0       0   \n",
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      ]
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df = pd.read_csv(\"nih/train-small.csv\")\n",
    "valid_df = pd.read_csv(\"nih/valid-small.csv\")\n",
    "\n",
    "test_df = pd.read_csv(\"nih/test.csv\")\n",
    "\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mrDoMlsun5yE"
   },
   "outputs": [],
   "source": [
    "labels = ['Cardiomegaly', \n",
    "          'Emphysema', \n",
    "          'Effusion', \n",
    "          'Hernia', \n",
    "          'Infiltration', \n",
    "          'Mass', \n",
    "          'Nodule', \n",
    "          'Atelectasis',\n",
    "          'Pneumothorax',\n",
    "          'Pleural_Thickening', \n",
    "          'Pneumonia', \n",
    "          'Fibrosis', \n",
    "          'Edema', \n",
    "          'Consolidation']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "iKwFwpHLn5yG"
   },
   "source": [
    "<a name='2-1'></a>\n",
    "### 2.1 Preventing Data Leakage\n",
    "It is worth noting that our dataset contains multiple images for each patient. This could be the case, for example, when a patient has taken multiple X-ray images at different times during their hospital visits. In our data splitting, we have ensured that the split is done on the patient level so that there is no data \"leakage\" between the train, validation, and test datasets."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name='Ex-1'></a>\n",
    "### Exercise 1 - Checking Data Leakage\n",
    "In the cell below, write a function to check whether there is leakage between two datasets. We'll use this to make sure there are no patients in the test set that are also present in either the train or validation sets."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details>    \n",
    "<summary>\n",
    "    <font size=\"3\" color=\"darkgreen\"><b>Hints</b></font>\n",
    "</summary>\n",
    "<p>\n",
    "<ul>\n",
    "    <li> Make use of python's set.intersection() function. </li>\n",
    "    <li> In order to match the automatic grader's expectations, please start the line of code with <code>df1_patients_unique...[continue your code here]</code> </li>\n",
    "\n",
    "</ul>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Jz6dwTSrUcKc"
   },
   "outputs": [],
   "source": [
    "# UNQ_C1 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)\n",
    "def check_for_leakage(df1, df2, patient_col):\n",
    "    \"\"\"\n",
    "    Return True if there any patients are in both df1 and df2.\n",
    "\n",
    "    Args:\n",
    "        df1 (dataframe): dataframe describing first dataset\n",
    "        df2 (dataframe): dataframe describing second dataset\n",
    "        patient_col (str): string name of column with patient IDs\n",
    "    \n",
    "    Returns:\n",
    "        leakage (bool): True if there is leakage, otherwise False\n",
    "    \"\"\"\n",
    "\n",
    "    ### START CODE HERE (REPLACE INSTANCES OF 'None' with your code) ###\n",
    "    \n",
    "    df1_patients_unique = set(df1[patient_col])\n",
    "    df2_patients_unique = set(df2[patient_col])\n",
    "    \n",
    "    patients_in_both_groups = df1_patients_unique.intersection(df2_patients_unique)\n",
    "\n",
    "    # leakage contains true if there is patient overlap, otherwise false.\n",
    "    if patients_in_both_groups:\n",
    "        leakage = True # boolean (true if there is at least 1 patient in both groups)\n",
    "    else:\n",
    "        leakage = False\n",
    "    \n",
    "    ### END CODE HERE ###\n",
    "    \n",
    "    return leakage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 544
    },
    "colab_type": "code",
    "id": "Rh2p1krrV1g5",
    "outputId": "9ee44d93-8ef1-4c98-f9fa-65b309b9b889"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test case 1\n",
      "df1\n",
      "   patient_id\n",
      "0           0\n",
      "1           1\n",
      "2           2\n",
      "df2\n",
      "   patient_id\n",
      "0           2\n",
      "1           3\n",
      "2           4\n",
      "leakage output: True\n",
      "-------------------------------------\n",
      "test case 2\n",
      "df1:\n",
      "   patient_id\n",
      "0           0\n",
      "1           1\n",
      "2           2\n",
      "df2:\n",
      "   patient_id\n",
      "0           3\n",
      "1           4\n",
      "2           5\n",
      "leakage output: False\n"
     ]
    }
   ],
   "source": [
    "# test\n",
    "print(\"test case 1\")\n",
    "df1 = pd.DataFrame({'patient_id': [0, 1, 2]})\n",
    "df2 = pd.DataFrame({'patient_id': [2, 3, 4]})\n",
    "print(\"df1\")\n",
    "print(df1)\n",
    "print(\"df2\")\n",
    "print(df2)\n",
    "print(f\"leakage output: {check_for_leakage(df1, df2, 'patient_id')}\")\n",
    "print(\"-------------------------------------\")\n",
    "print(\"test case 2\")\n",
    "df1 = pd.DataFrame({'patient_id': [0, 1, 2]})\n",
    "df2 = pd.DataFrame({'patient_id': [3, 4, 5]})\n",
    "print(\"df1:\")\n",
    "print(df1)\n",
    "print(\"df2:\")\n",
    "print(df2)\n",
    "\n",
    "print(f\"leakage output: {check_for_leakage(df1, df2, 'patient_id')}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Expected output\n",
    "\n",
    "```Python\n",
    "test case 1\n",
    "df1\n",
    "   patient_id\n",
    "0           0\n",
    "1           1\n",
    "2           2\n",
    "df2\n",
    "   patient_id\n",
    "0           2\n",
    "1           3\n",
    "2           4\n",
    "leakage output: True\n",
    "-------------------------------------\n",
    "test case 2\n",
    "df1:\n",
    "   patient_id\n",
    "0           0\n",
    "1           1\n",
    "2           2\n",
    "df2:\n",
    "   patient_id\n",
    "0           3\n",
    "1           4\n",
    "2           5\n",
    "leakage output: False\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "FCWkiLudW_Il"
   },
   "source": [
    "Run the next cell to check if there are patients in both train and test or in both valid and test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 51
    },
    "colab_type": "code",
    "id": "AMF3Wd3yW-RS",
    "outputId": "e417c9ea-c06b-49a7-af35-d802bc1725eb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "leakage between train and test: False\n",
      "leakage between valid and test: False\n"
     ]
    }
   ],
   "source": [
    "print(\"leakage between train and test: {}\".format(check_for_leakage(train_df, test_df, 'PatientId')))\n",
    "print(\"leakage between valid and test: {}\".format(check_for_leakage(valid_df, test_df, 'PatientId')))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zRUvYHpYXhlQ"
   },
   "source": [
    "If we get `False` for both, then we're ready to start preparing the datasets for training. Remember to always check for data leakage!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "JBWZ5l4ln5yH"
   },
   "source": [
    "<a name='2-2'></a>\n",
    "### 2.2 Preparing Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "SPjuZHPpn5yH"
   },
   "source": [
    "With our dataset splits ready, we can now proceed with setting up our model to consume them. \n",
    "- For this we will use the off-the-shelf [ImageDataGenerator](https://keras.io/preprocessing/image/) class from the Keras framework, which allows us to build a \"generator\" for images specified in a dataframe. \n",
    "- This class also provides support for basic data augmentation such as random horizontal flipping of images.\n",
    "- We also use the generator to transform the values in each batch so that their mean is $0$ and their standard deviation is 1. \n",
    "    - This will facilitate model training by standardizing the input distribution. \n",
    "- The generator also converts our single channel X-ray images (gray-scale) to a three-channel format by repeating the values in the image across all channels.\n",
    "    - We will want this because the pre-trained model that we'll use requires three-channel inputs.\n",
    "\n",
    "Since it is mainly a matter of reading and understanding Keras documentation, we have implemented the generator for you. There are a few things to note: \n",
    "1. We normalize the mean and standard deviation of the data\n",
    "3. We shuffle the input after each epoch.\n",
    "4. We set the image size to be 320px by 320px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "nAgVGOAju8pX"
   },
   "outputs": [],
   "source": [
    "def get_train_generator(df, image_dir, x_col, y_cols, shuffle=True, batch_size=8, seed=1, target_w = 320, target_h = 320):\n",
    "    \"\"\"\n",
    "    Return generator for training set, normalizing using batch\n",
    "    statistics.\n",
    "\n",
    "    Args:\n",
    "      train_df (dataframe): dataframe specifying training data.\n",
    "      image_dir (str): directory where image files are held.\n",
    "      x_col (str): name of column in df that holds filenames.\n",
    "      y_cols (list): list of strings that hold y labels for images.\n",
    "      batch_size (int): images per batch to be fed into model during training.\n",
    "      seed (int): random seed.\n",
    "      target_w (int): final width of input images.\n",
    "      target_h (int): final height of input images.\n",
    "    \n",
    "    Returns:\n",
    "        train_generator (DataFrameIterator): iterator over training set\n",
    "    \"\"\"        \n",
    "    print(\"getting train generator...\") \n",
    "    # normalize images\n",
    "    image_generator = ImageDataGenerator(\n",
    "        samplewise_center=True,\n",
    "        samplewise_std_normalization= True)\n",
    "    \n",
    "    # flow from directory with specified batch size\n",
    "    # and target image size\n",
    "    generator = image_generator.flow_from_dataframe(\n",
    "            dataframe=df,\n",
    "            directory=image_dir,\n",
    "            x_col=x_col,\n",
    "            y_col=y_cols,\n",
    "            class_mode=\"raw\",\n",
    "            batch_size=batch_size,\n",
    "            shuffle=shuffle,\n",
    "            seed=seed,\n",
    "            target_size=(target_w,target_h))\n",
    "    \n",
    "    return generator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vpRXR-3_u7cl"
   },
   "source": [
    "#### Build a separate generator for valid and test sets\n",
    "\n",
    "Now we need to build a new generator for validation and testing data. \n",
    "\n",
    "**Why can't we use the same generator as for the training data?**\n",
    "\n",
    "Look back at the generator we wrote for the training data. \n",
    "- It normalizes each image **per batch**, meaning that it uses batch statistics. \n",
    "- We should not do this with the test and validation data, since in a real life scenario we don't process incoming images a batch at a time (we process one image at a time). \n",
    "- Knowing the average per batch of test data would effectively give our model an advantage.  \n",
    "    - The model should not have any information about the test data.\n",
    "\n",
    "What we need to do is normalize incoming test data using the statistics **computed from the training set**. \n",
    "* We implement this in the function below. \n",
    "* There is one technical note. Ideally, we would want to compute our sample mean and standard deviation using the entire training set. \n",
    "* However, since this is extremely large, that would be very time consuming. \n",
    "* In the interest of time, we'll take a random sample of the dataset and calcualte the sample mean and sample standard deviation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "UtWEAfAnrhMq"
   },
   "outputs": [],
   "source": [
    "def get_test_and_valid_generator(valid_df, test_df, train_df, image_dir, x_col, y_cols, sample_size=100, batch_size=8, seed=1, target_w = 320, target_h = 320):\n",
    "    \"\"\"\n",
    "    Return generator for validation set and test test set using \n",
    "    normalization statistics from training set.\n",
    "\n",
    "    Args:\n",
    "      valid_df (dataframe): dataframe specifying validation data.\n",
    "      test_df (dataframe): dataframe specifying test data.\n",
    "      train_df (dataframe): dataframe specifying training data.\n",
    "      image_dir (str): directory where image files are held.\n",
    "      x_col (str): name of column in df that holds filenames.\n",
    "      y_cols (list): list of strings that hold y labels for images.\n",
    "      sample_size (int): size of sample to use for normalization statistics.\n",
    "      batch_size (int): images per batch to be fed into model during training.\n",
    "      seed (int): random seed.\n",
    "      target_w (int): final width of input images.\n",
    "      target_h (int): final height of input images.\n",
    "    \n",
    "    Returns:\n",
    "        test_generator (DataFrameIterator) and valid_generator: iterators over test set and validation set respectively\n",
    "    \"\"\"\n",
    "    print(\"getting train and valid generators...\")\n",
    "    # get generator to sample dataset\n",
    "    raw_train_generator = ImageDataGenerator().flow_from_dataframe(\n",
    "        dataframe=train_df, \n",
    "        directory=IMAGE_DIR, \n",
    "        x_col=\"Image\", \n",
    "        y_col=labels, \n",
    "        class_mode=\"raw\", \n",
    "        batch_size=sample_size, \n",
    "        shuffle=True, \n",
    "        target_size=(target_w, target_h))\n",
    "    \n",
    "    # get data sample\n",
    "    batch = raw_train_generator.next()\n",
    "    data_sample = batch[0]\n",
    "\n",
    "    # use sample to fit mean and std for test set generator\n",
    "    image_generator = ImageDataGenerator(\n",
    "        featurewise_center=True,\n",
    "        featurewise_std_normalization= True)\n",
    "    \n",
    "    # fit generator to sample from training data\n",
    "    image_generator.fit(data_sample)\n",
    "\n",
    "    # get test generator\n",
    "    valid_generator = image_generator.flow_from_dataframe(\n",
    "            dataframe=valid_df,\n",
    "            directory=image_dir,\n",
    "            x_col=x_col,\n",
    "            y_col=y_cols,\n",
    "            class_mode=\"raw\",\n",
    "            batch_size=batch_size,\n",
    "            shuffle=False,\n",
    "            seed=seed,\n",
    "            target_size=(target_w,target_h))\n",
    "\n",
    "    test_generator = image_generator.flow_from_dataframe(\n",
    "            dataframe=test_df,\n",
    "            directory=image_dir,\n",
    "            x_col=x_col,\n",
    "            y_col=y_cols,\n",
    "            class_mode=\"raw\",\n",
    "            batch_size=batch_size,\n",
    "            shuffle=False,\n",
    "            seed=seed,\n",
    "            target_size=(target_w,target_h))\n",
    "    return valid_generator, test_generator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ga4RZN5On5yL"
   },
   "source": [
    "With our generator function ready, let's make one generator for our training data and one each of our test and  validation datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 119
    },
    "colab_type": "code",
    "id": "rNE3HWRbn5yL",
    "outputId": "4c6b1c25-a33d-42e0-f442-40971ca52a3f",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "getting train generator...\n",
      "Found 1000 validated image filenames.\n",
      "getting train and valid generators...\n",
      "Found 1000 validated image filenames.\n",
      "Found 200 validated image filenames.\n",
      "Found 420 validated image filenames.\n"
     ]
    }
   ],
   "source": [
    "IMAGE_DIR = \"nih/images-small/\"\n",
    "train_generator = get_train_generator(train_df, IMAGE_DIR, \"Image\", labels)\n",
    "valid_generator, test_generator= get_test_and_valid_generator(valid_df, test_df, train_df, IMAGE_DIR, \"Image\", labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pYtXacDgn5yN"
   },
   "source": [
    "Let's peek into what the generator gives our model during training and validation. We can do this by calling the `__get_item__(index)` function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 303
    },
    "colab_type": "code",
    "id": "Jh77vpN-n5yO",
    "outputId": "c4e68e79-e8f2-4bb9-8909-072c9dd2f805"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y = train_generator.__getitem__(0)\n",
    "plt.imshow(x[0]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9WBMpRxcDMgp"
   },
   "source": [
    "<a name='3'></a>\n",
    "## 3 Model Development\n",
    "\n",
    "Now we'll move on to model training and development. We have a few practical challenges to deal with before actually training a neural network, though. The first is class imbalance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "qHBSgvxfn5yR"
   },
   "source": [
    "<a name='3-1'></a>\n",
    "### 3.1 Addressing Class Imbalance\n",
    "One of the challenges with working with medical diagnostic datasets is the large class imbalance present in such datasets. Let's plot the frequency of each of the labels in our dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 365
    },
    "colab_type": "code",
    "id": "-OvyPe5en5yR",
    "outputId": "077747ad-7ab8-463d-8335-6b243cb29e63"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xticks(rotation=90)\n",
    "plt.bar(x=labels, height=np.mean(train_generator.labels, axis=0))\n",
    "plt.title(\"Frequency of Each Class\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see from this plot that the prevalance of positive cases varies significantly across the different pathologies. (These trends mirror the ones in the full dataset as well.) \n",
    "* The `Hernia` pathology has the greatest imbalance with the proportion of positive training cases being about 0.2%. \n",
    "* But even the `Infiltration` pathology, which has the least amount of imbalance, has only 17.5% of the training cases labelled positive.\n",
    "\n",
    "Ideally, we would train our model using an evenly balanced dataset so that the positive and negative training cases would contribute equally to the loss. \n",
    "\n",
    "If we use a normal cross-entropy loss function with a highly unbalanced dataset, as we are seeing here, then the algorithm will be incentivized to prioritize the majority class (i.e negative in our case), since it contributes more to the loss. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3nHRd9p9n5yU"
   },
   "source": [
    "#### Impact of class imbalance on loss function\n",
    "\n",
    "Let's take a closer look at this. Assume we would have used a normal cross-entropy loss for each pathology. We recall that the cross-entropy loss contribution from the $i^{th}$ training data case is:\n",
    "\n",
    "$$\\mathcal{L}_{cross-entropy}(x_i) = -(y_i \\log(f(x_i)) + (1-y_i) \\log(1-f(x_i))),$$\n",
    "\n",
    "where $x_i$ and $y_i$ are the input features and the label, and $f(x_i)$ is the output of the model, i.e. the probability that it is positive. \n",
    "\n",
    "Note that for any training case, either $y_i=0$ or else $(1-y_i)=0$, so only one of these terms contributes to the loss (the other term is multiplied by zero, and becomes zero). \n",
    "\n",
    "We can rewrite the overall average cross-entropy loss over the entire training set $\\mathcal{D}$ of size $N$ as follows: \n",
    "\n",
    "$$\\mathcal{L}_{cross-entropy}(\\mathcal{D}) = - \\frac{1}{N}\\big( \\sum_{\\text{positive examples}} \\log (f(x_i)) + \\sum_{\\text{negative examples}} \\log(1-f(x_i)) \\big).$$\n",
    "\n",
    "Using this formulation, we can see that if there is a large imbalance with very few positive training cases, for example, then the loss will be dominated by the negative class. Summing the contribution over all the training cases for each class (i.e. pathological condition), we see that the contribution of each class (i.e. positive or negative) is: \n",
    "\n",
    "$$freq_{p} = \\frac{\\text{number of positive examples}}{N} $$\n",
    "\n",
    "$$\\text{and}$$\n",
    "\n",
    "$$freq_{n} = \\frac{\\text{number of negative examples}}{N}.$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name='Ex-2'></a>\n",
    "### Exercise 2 - Computing Class Frequencies\n",
    "Complete the function below to calculate these frequences for each label in our dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details>    \n",
    "<summary>\n",
    "    <font size=\"3\" color=\"darkgreen\"><b>Hints</b></font>\n",
    "</summary>\n",
    "<p>\n",
    "<ul>\n",
    "    <li> Use numpy.sum(a, axis=), and choose the axis (0 or 1) </li>\n",
    "</ul>\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TpDGeY2cChYD"
   },
   "outputs": [],
   "source": [
    "# UNQ_C2 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)\n",
    "def compute_class_freqs(labels):\n",
    "    \"\"\"\n",
    "    Compute positive and negative frequences for each class.\n",
    "\n",
    "    Args:\n",
    "        labels (np.array): matrix of labels, size (num_examples, num_classes)\n",
    "    Returns:\n",
    "        positive_frequencies (np.array): array of positive frequences for each\n",
    "                                         class, size (num_classes)\n",
    "        negative_frequencies (np.array): array of negative frequences for each\n",
    "                                         class, size (num_classes)\n",
    "    \"\"\"\n",
    "    ### START CODE HERE (REPLACE INSTANCES OF 'None' with your code) ###\n",
    "    \n",
    "    # total number of patients (rows)\n",
    "    N = labels.shape[0]\n",
    "    \n",
    "    positive_frequencies = np.sum(labels, axis = 0) / N\n",
    "    negative_frequencies = 1 - positive_frequencies\n",
    "\n",
    "    ### END CODE HERE ###\n",
    "    return positive_frequencies, negative_frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 153
    },
    "colab_type": "code",
    "id": "BqidQvCaD_xi",
    "outputId": "56a5905a-e61b-47a8-f444-aa89d7481c44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels:\n",
      "[[1 0 0]\n",
      " [0 1 1]\n",
      " [1 0 1]\n",
      " [1 1 1]\n",
      " [1 0 1]]\n",
      "pos freqs: [0.8 0.4 0.8]\n",
      "neg freqs: [0.2 0.6 0.2]\n"
     ]
    }
   ],
   "source": [
    "# Test\n",
    "labels_matrix = np.array(\n",
    "    [[1, 0, 0],\n",
    "     [0, 1, 1],\n",
    "     [1, 0, 1],\n",
    "     [1, 1, 1],\n",
    "     [1, 0, 1]]\n",
    ")\n",
    "print(\"labels:\")\n",
    "print(labels_matrix)\n",
    "\n",
    "test_pos_freqs, test_neg_freqs = compute_class_freqs(labels_matrix)\n",
    "\n",
    "print(f\"pos freqs: {test_pos_freqs}\")\n",
    "\n",
    "print(f\"neg freqs: {test_neg_freqs}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Expected output\n",
    "\n",
    "```Python\n",
    "labels:\n",
    "[[1 0 0]\n",
    " [0 1 1]\n",
    " [1 0 1]\n",
    " [1 1 1]\n",
    " [1 0 1]]\n",
    "pos freqs: [0.8 0.4 0.8]\n",
    "neg freqs: [0.2 0.6 0.2]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Iye-sQoOFG37"
   },
   "source": [
    "Now we'll compute frequencies for our training data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "LoxM5jQ0E30D"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.02 , 0.013, 0.128, 0.002, 0.175, 0.045, 0.054, 0.106, 0.038,\n",
       "       0.021, 0.01 , 0.014, 0.016, 0.033])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freq_pos, freq_neg = compute_class_freqs(train_generator.labels)\n",
    "freq_pos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gsJIDPTZn5yW"
   },
   "source": [
    "Let's visualize these two contribution ratios next to each other for each of the pathologies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 363
    },
    "colab_type": "code",
    "id": "IqnNCu4In5yW",
    "outputId": "245f1a6b-b292-4c6d-a583-c6924bc61f31",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.DataFrame({\"Class\": labels, \"Label\": \"Positive\", \"Value\": freq_pos})\n",
    "data = data.append([{\"Class\": labels[l], \"Label\": \"Negative\", \"Value\": v} for l,v in enumerate(freq_neg)], ignore_index=True)\n",
    "plt.xticks(rotation=90)\n",
    "f = sns.barplot(x=\"Class\", y=\"Value\", hue=\"Label\" ,data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2uvttCM8n5yY"
   },
   "source": [
    "As we see in the above plot, the contributions of positive cases is significantly lower than that of the negative ones. However, we want the contributions to be equal. One way of doing this is by multiplying each example from each class by a class-specific weight factor, $w_{pos}$ and $w_{neg}$, so that the overall contribution of each class is the same. \n",
    "\n",
    "To have this, we want \n",
    "\n",
    "$$w_{pos} \\times freq_{p} = w_{neg} \\times freq_{n},$$\n",
    "\n",
    "which we can do simply by taking \n",
    "\n",
    "$$w_{pos} = freq_{neg}$$\n",
    "$$w_{neg} = freq_{pos}$$\n",
    "\n",
    "This way, we will be balancing the contribution of positive and negative labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zs3_Rgwwn5yZ"
   },
   "outputs": [],
   "source": [
    "pos_weights = freq_neg\n",
    "neg_weights = freq_pos\n",
    "pos_contribution = freq_pos * pos_weights \n",
    "neg_contribution = freq_neg * neg_weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ygNZmdyun5ya"
   },
   "source": [
    "Let's verify this by graphing the two contributions next to each other again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 380
    },
    "colab_type": "code",
    "id": "LPfSFrxjn5yb",
    "outputId": "a4b6354f-ab39-4623-d44b-90cfd9b28506",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = pd.DataFrame({\"Class\": labels, \"Label\": \"Positive\", \"Value\": pos_contribution})\n",
    "data = data.append([{\"Class\": labels[l], \"Label\": \"Negative\", \"Value\": v} \n",
    "                        for l,v in enumerate(neg_contribution)], ignore_index=True)\n",
    "plt.xticks(rotation=90)\n",
    "sns.barplot(x=\"Class\", y=\"Value\", hue=\"Label\" ,data=data);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "u9xgoEkpn5yc"
   },
   "source": [
    "As the above figure shows, by applying these weightings the positive and negative labels within each class would have the same aggregate contribution to the loss function. Now let's implement such a loss function. \n",
    "\n",
    "After computing the weights, our final weighted loss for each training case will be \n",
    "\n",
    "$$\\mathcal{L}_{cross-entropy}^{w}(x) = - (w_{p} y \\log(f(x)) + w_{n}(1-y) \\log( 1 - f(x) ) ).$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a name='Ex-3'></a>\n",
    "### Exercise 3 - Weighted Loss\n",
    "Fill out the `weighted_loss` function below to return a loss function that calculates the weighted loss for each batch. Recall that for the multi-class loss, we add up the average loss for each individual class. Note that we also want to add a small value, $\\epsilon$, to the predicted values before taking their logs. This is simply to avoid a numerical error that would otherwise occur if the predicted value happens to be zero.\n",
    "\n",
    "##### Note\n",
    "Please use Keras functions to calculate the mean and the log.\n",
    "\n",
    "- [Keras.mean](https://www.tensorflow.org/api_docs/python/tf/keras/backend/mean)\n",
    "- [Keras.log](https://www.tensorflow.org/api_docs/python/tf/keras/backend/log)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "pPIBVAasn5yd"
   },
   "outputs": [],
   "source": [
    "# UNQ_C3 (UNIQUE CELL IDENTIFIER, DO NOT EDIT)\n",
    "def get_weighted_loss(pos_weights, neg_weights, epsilon=1e-7):\n",
    "    \"\"\"\n",
    "    Return weighted loss function given negative weights and positive weights.\n",
    "\n",
    "    Args:\n",
    "      pos_weights (np.array): array of positive weights for each class, size (num_classes)\n",
    "      neg_weights (np.array): array of negative weights for each class, size (num_classes)\n",
    "    \n",
    "    Returns:\n",
    "      weighted_loss (function): weighted loss function\n",
    "    \"\"\"\n",
    "    def weighted_loss(y_true, y_pred):\n",
    "        \"\"\"\n",
    "        Return weighted loss value. \n",
    "\n",
    "        Args:\n",
    "            y_true (Tensor): Tensor of true labels, size is (num_examples, num_classes)\n",
    "            y_pred (Tensor): Tensor of predicted labels, size is (num_examples, num_classes)\n",
    "        Returns:\n",
    "            loss (Float): overall scalar loss summed across all classes\n",
    "        \"\"\"\n",
    "        # initialize loss to zero\n",
    "        loss = 0.0\n",
    "        \n",
    "        ### START CODE HERE (REPLACE INSTANCES OF 'None' with your code) ###\n",
    "\n",
    "        for i in range(len(pos_weights)):\n",
    "            # for each class, add average weighted loss for that class \n",
    "            loss += K.mean(-(pos_weights[i] *y_true[:,i] * K.log(y_pred[:,i] + epsilon) \n",
    "                             + neg_weights[i]* (1 - y_true[:,i]) * K.log( 1 - y_pred[:,i] + epsilon))) #complete this line\n",
    "        return loss\n",
    "    \n",
    "        ### END CODE HERE ###\n",
    "    return weighted_loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's test our function with some simple cases. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 595
    },
    "colab_type": "code",
    "id": "CFjYda3Wulbm",
    "outputId": "87128f53-7a99-40e2-d09a-6539215879d0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test example:\n",
      "\n",
      "y_true:\n",
      "\n",
      "[[1. 1. 1.]\n",
      " [1. 1. 0.]\n",
      " [0. 1. 0.]\n",
      " [1. 0. 1.]]\n",
      "\n",
      "w_p:\n",
      "\n",
      "[0.25 0.25 0.5 ]\n",
      "\n",
      "w_n:\n",
      "\n",
      "[0.75 0.75 0.5 ]\n",
      "\n",
      "y_pred_1:\n",
      "\n",
      "[[0.7 0.7 0.7]\n",
      " [0.7 0.7 0.7]\n",
      " [0.7 0.7 0.7]\n",
      " [0.7 0.7 0.7]]\n",
      "\n",
      "y_pred_2:\n",
      "\n",
      "[[0.3 0.3 0.3]\n",
      " [0.3 0.3 0.3]\n",
      " [0.3 0.3 0.3]\n",
      " [0.3 0.3 0.3]]\n",
      "\n",
      "If we weighted them correctly, we expect the two losses to be the same.\n",
      "\n",
      "L(y_pred_1)= -0.4956, L(y_pred_2)= -0.4956\n",
      "Difference is L1 - L2 = 0.0000\n"
     ]
    }
   ],
   "source": [
    "# Test\n",
    "sess = K.get_session()\n",
    "with sess.as_default() as sess:\n",
    "    print(\"Test example:\\n\")\n",
    "    y_true = K.constant(np.array(\n",
    "        [[1, 1, 1],\n",
    "         [1, 1, 0],\n",
    "         [0, 1, 0],\n",
    "         [1, 0, 1]]\n",
    "    ))\n",
    "    print(\"y_true:\\n\")\n",
    "    print(y_true.eval())\n",
    "\n",
    "    w_p = np.array([0.25, 0.25, 0.5])\n",
    "    w_n = np.array([0.75, 0.75, 0.5])\n",
    "    print(\"\\nw_p:\\n\")\n",
    "    print(w_p)\n",
    "\n",
    "    print(\"\\nw_n:\\n\")\n",
    "    print(w_n)\n",
    "\n",
    "    y_pred_1 = K.constant(0.7*np.ones(y_true.shape))\n",
    "    print(\"\\ny_pred_1:\\n\")\n",
    "    print(y_pred_1.eval())\n",
    "\n",
    "    y_pred_2 = K.constant(0.3*np.ones(y_true.shape))\n",
    "    print(\"\\ny_pred_2:\\n\")\n",
    "    print(y_pred_2.eval())\n",
    "\n",
    "    # test with a large epsilon in order to catch errors\n",
    "    L = get_weighted_loss(w_p, w_n, epsilon=1)\n",
    "\n",
    "    print(\"\\nIf we weighted them correctly, we expect the two losses to be the same.\")\n",
    "    L1 = L(y_true, y_pred_1).eval()\n",
    "    L2 = L(y_true, y_pred_2).eval()\n",
    "    print(f\"\\nL(y_pred_1)= {L1:.4f}, L(y_pred_2)= {L2:.4f}\")\n",
    "    print(f\"Difference is L1 - L2 = {L1 - L2:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Additional check\n",
    "If you implemented the function correctly, then if the epsilon for the `get_weighted_loss` is set to `1`, the weighted losses will be as follows:\n",
    "```Python\n",
    "L(y_pred_1)= -0.4956, L(y_pred_2)= -0.4956\n",
    "```\n",
    "If you are missing something in your implementation, you will see a different set of losses for L1 and L2 (even though L1 and L2 will be the same)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "yDZQMmlgn5yh"
   },
   "source": [
    "<a name='3-3'></a>\n",
    "### 3.3 DenseNet121\n",
    "\n",
    "Next, we will use a pre-trained [DenseNet121](https://www.kaggle.com/pytorch/densenet121) model which we can load directly from Keras and then add two layers on top of it:\n",
    "1. A `GlobalAveragePooling2D` layer to get the average of the last convolution layers from DenseNet121.\n",
    "2. A `Dense` layer with `sigmoid` activation to get the prediction logits for each of our classes.\n",
    "\n",
    "We can set our custom loss function for the model by specifying the `loss` parameter in the `compile()` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 71
    },
    "colab_type": "code",
    "id": "gZlxoCTgn5yi",
    "outputId": "7e12120b-8aab-403c-b5ca-2ff77ef978b1",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n",
      "WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4070: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
      "\n",
      "WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4074: The name tf.nn.avg_pool is deprecated. Please use tf.nn.avg_pool2d instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# create the base pre-trained model\n",
    "base_model = DenseNet121(weights='./nih/densenet.hdf5', include_top=False)\n",
    "\n",
    "x = base_model.output\n",
    "\n",
    "# add a global spatial average pooling layer\n",
    "x = GlobalAveragePooling2D()(x)\n",
    "\n",
    "# and a logistic layer\n",
    "predictions = Dense(len(labels), activation=\"sigmoid\")(x)\n",
    "\n",
    "model = Model(inputs=base_model.input, outputs=predictions)\n",
    "model.compile(optimizer='adam', loss=get_weighted_loss(pos_weights, neg_weights))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BcwhQdOAn5ym"
   },
   "source": [
    "<a name='4'></a>\n",
    "## 4 Training [optional]\n",
    "\n",
    "With our model ready for training, we will use the `model.fit()` function in Keras to train our model. \n",
    "- We are training on a small subset of the dataset (~1%).  \n",
    "- So what we care about at this point is to make sure that the loss on the training set is decreasing.\n",
    "\n",
    "Since training can take a considerable time, for pedagogical purposes we have chosen not to train the model here but rather to load a set of pre-trained weights in the next section. However, you can use the code shown below to practice training the model locally on your machine or in Colab.\n",
    "\n",
    "**NOTE:** Do not run the code below on the Coursera platform as it will exceed the platform's memory limitations.\n",
    "\n",
    "Python Code for training the model:\n",
    "\n",
    "```python\n",
    "history = model.fit_generator(train_generator, \n",
    "                              validation_data=valid_generator,\n",
    "                              steps_per_epoch=100, \n",
    "                              validation_steps=25, \n",
    "                              epochs = 3)\n",
    "\n",
    "plt.plot(history.history['loss'])\n",
    "plt.ylabel(\"loss\")\n",
    "plt.xlabel(\"epoch\")\n",
    "plt.title(\"Training Loss Curve\")\n",
    "plt.show()\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xB5nsGKrn5yp"
   },
   "source": [
    "<a name='4-1'></a>\n",
    "### 4.1 Training on the Larger Dataset\n",
    "\n",
    "Given that the original dataset is 40GB+ in size and the training process on the full dataset takes a few hours, we have trained the model on a GPU-equipped machine for you and provided the weights file from our model (with a batch size of 32 instead) to be used for the rest of this assignment. \n",
    "\n",
    "The model architecture for our pre-trained model is exactly the same, but we used a few useful Keras \"callbacks\" for this training. Do spend time to read about these callbacks at your leisure as they will be very useful for managing long-running training sessions:\n",
    "\n",
    "1. You can use `ModelCheckpoint` callback to monitor your model's `val_loss` metric and keep a snapshot of your model at the point. \n",
    "2. You can use the `TensorBoard` to use the Tensorflow Tensorboard utility to monitor your runs in real-time. \n",
    "3. You can use the `ReduceLROnPlateau` to slowly decay the learning rate for your model as it stops getting better on a metric such as `val_loss` to fine-tune the model in the final steps of training.\n",
    "4. You can use the `EarlyStopping` callback to stop the training job when your model stops getting better in it's validation loss. You can set a `patience` value which is the number of epochs the model does not improve after which the training is terminated. This callback can also conveniently restore the weights for the best metric at the end of training to your model.\n",
    "\n",
    "You can read about these callbacks and other useful Keras callbacks [here](https://keras.io/callbacks/).\n",
    "\n",
    "Let's load our pre-trained weights into the model now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "887bSajLn5yq"
   },
   "outputs": [],
   "source": [
    "model.load_weights(\"./nih/pretrained_model.h5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mA90g8n6suRV"
   },
   "source": [
    "<a name='5'></a>\n",
    "## 5 Prediction and Evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Kz1BEwOyxFbj"
   },
   "source": [
    "Now that we have a model, let's evaluate it using our test set. We can conveniently use the `predict_generator` function to generate the predictions for the images in our test set.\n",
    "\n",
    "**Note:** The following cell can take about 4 minutes to run."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "QzNrhtf1w2bI",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "predicted_vals = model.predict_generator(test_generator, steps = len(test_generator))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "wtjCtaGen5yt"
   },
   "source": [
    "<a name='5-1'></a>\n",
    "### 5.1 ROC Curve and AUROC\n",
    "We'll cover topic of model evaluation in much more detail in later weeks, but for now we'll walk through computing a metric called the AUC (Area Under the Curve) from the ROC ([Receiver Operating Characteristic](https://en.wikipedia.org/wiki/Receiver_operating_characteristic)) curve. This is also referred to as the AUROC value, but you will see all three terms in reference to the technique, and often used almost interchangeably. \n",
    "\n",
    "For now, what you need to know in order to interpret the plot is that a curve that is more to the left and the top has more \"area\" under it, and indicates that the model is performing better.\n",
    "\n",
    "We will use the `util.get_roc_curve()` function which has been provided for you in `util.py`. Look through this function and note the use of the `sklearn` library functions to generate the ROC curves and AUROC values for our model. \n",
    "\n",
    "- [roc_curve](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html)\n",
    "- [roc_auc_score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 621
    },
    "colab_type": "code",
    "id": "6SLI8FHun5yw",
    "outputId": "4f5cc99c-4e1a-421b-fe2d-637df32d6416",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "auc_rocs = util.get_roc_curve(labels, predicted_vals, test_generator)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zWZkl01ruZ7P"
   },
   "source": [
    "You can compare the performance to the AUCs reported in the original ChexNeXt paper in the table below: "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "GZUoShw2n5yy"
   },
   "source": [
    "For reference, here's the AUC figure from the ChexNeXt paper which includes AUC values for their model as well as radiologists on this dataset:\n",
    "\n",
    "<img src=\"https://journals.plos.org/plosmedicine/article/figure/image?size=large&id=10.1371/journal.pmed.1002686.t001\" width=\"80%\">\n",
    "\n",
    "This method does take advantage of a few other tricks such as self-training and ensembling as well, which can give a significant boost to the performance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Jzy7fLgFn5yy"
   },
   "source": [
    "For details about the best performing methods and their performance on this dataset, we encourage you to read the following papers:\n",
    "- [CheXNet](https://arxiv.org/abs/1711.05225)\n",
    "- [CheXpert](https://arxiv.org/pdf/1901.07031.pdf)\n",
    "- [ChexNeXt](https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002686)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "G5aZAlVbn5yz"
   },
   "source": [
    "<a name='5-2'></a>\n",
    "### 5.2 Visualizing Learning with GradCAM \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "gu9ExySryY6u"
   },
   "source": [
    "One of the challenges of using deep learning in medicine is that the complex architecture used for neural networks makes them much harder to interpret compared to traditional machine learning models (e.g. linear models). \n",
    "\n",
    "One of the most common approaches aimed at increasing the interpretability of models for computer vision tasks is to use Class Activation Maps (CAM). \n",
    "- Class activation maps are useful for understanding where the model is \"looking\" when classifying an image. \n",
    "\n",
    "In this section we will use a [GradCAM's](https://arxiv.org/abs/1610.02391) technique to produce a heatmap highlighting the important regions in the image for predicting the pathological condition. \n",
    "- This is done by extracting the gradients of each predicted class, flowing into our model's final convolutional layer. Look at the `util.compute_gradcam` which has been provided for you in `util.py` to see how this is done with the Keras framework. \n",
    "\n",
    "It is worth mentioning that GradCAM does not provide a full explanation of the reasoning for each classification probability. \n",
    "- However, it is still a useful tool for \"debugging\" our model and augmenting our prediction so that an expert could validate that a prediction is indeed due to the model focusing on the right regions of the image."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we will load the small training set and setup to look at the 4 classes with the highest performing AUC measures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6kahoZbJn5yz",
    "outputId": "ade0a4e2-4591-4ba5-ec19-1a3487e3f972",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"nih/train-small.csv\")\n",
    "IMAGE_DIR = \"nih/images-small/\"\n",
    "\n",
    "# only show the labels with top 4 AUC\n",
    "labels_to_show = np.take(labels, np.argsort(auc_rocs)[::-1])[:4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's look at a few specific images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading original image\n",
      "Generating gradcam for class Cardiomegaly\n",
      "Generating gradcam for class Mass\n",
      "Generating gradcam for class Pneumothorax\n",
      "Generating gradcam for class Edema\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "util.compute_gradcam(model, '00008270_015.png', IMAGE_DIR, df, labels, labels_to_show)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "JC2zy1Kpn5y1",
    "outputId": "9e38a769-e19d-4143-da41-db7a3173a533"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading original image\n",
      "Generating gradcam for class Cardiomegaly\n",
      "Generating gradcam for class Mass\n",
      "Generating gradcam for class Pneumothorax\n",
      "Generating gradcam for class Edema\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "util.compute_gradcam(model, '00011355_002.png', IMAGE_DIR, df, labels, labels_to_show)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zCHVaLMQn5y2",
    "outputId": "57246709-2662-4590-9198-a412d2f1eea2",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading original image\n",
      "Generating gradcam for class Cardiomegaly\n",
      "Generating gradcam for class Mass\n",
      "Generating gradcam for class Pneumothorax\n",
      "Generating gradcam for class Edema\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "util.compute_gradcam(model, '00029855_001.png', IMAGE_DIR, df, labels, labels_to_show)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "gGwL8FcFn5y4",
    "outputId": "681fb2de-194c-465e-c989-133f334b8299"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading original image\n",
      "Generating gradcam for class Cardiomegaly\n",
      "Generating gradcam for class Mass\n",
      "Generating gradcam for class Pneumothorax\n",
      "Generating gradcam for class Edema\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "util.compute_gradcam(model, '00005410_000.png', IMAGE_DIR, df, labels, labels_to_show)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Congratulations, you've completed the first assignment of course one! You've learned how to preprocess data, check for data leakage, train a pre-trained model, and evaluate using the AUC. Great work!"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [
    "G5aZAlVbn5yz"
   ],
   "include_colab_link": true,
   "name": "C1M2_Assignment.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "coursera": {
   "schema_names": [
    "AI4MC1-1"
   ]
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}