Uji_Training_Pengembangan_Segmentasi_3D_UBSeg_Net___2022.ipynb

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      "language": "python",
      "display_name": "Python 3",
      "name": "python3"
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    "language_info": {
      "name": "python",
      "version": "3.7.12",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "colab": {
      "provenance": []
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "nbformat_minor": 0,
  "nbformat": 4,
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Development 3D MRI Segmentation\n",
        "\n",
        "Development of Image Segmentation Methods based on UBNet-Seg for Segmentation on Multiresolution 3D Brain MRI"
      ],
      "metadata": {
        "id": "fQb_KvwqzOVJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Setting Enviroment and Library"
      ],
      "metadata": {
        "id": "7tC5wMNUzOVS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import cv2\n",
        "import glob\n",
        "import PIL\n",
        "import shutil\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "\n",
        "!pip install --upgrade matplotlib==3.3.0\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#Library untuk olah citra\n",
        "from skimage import data\n",
        "from skimage.util import montage\n",
        "import skimage.transform as skTrans\n",
        "from skimage. transform import rotate, resize\n",
        "from PIL import Image, ImageOps\n",
        "\n",
        "\n",
        "#Library untuk visualisasi citra MRI\n",
        "!pip install nibabel==3.2\n",
        "import nibabel as nib\n",
        "\n",
        "#Library Deep Learning\n",
        "import keras\n",
        "import keras.backend as K\n",
        "from keras.callbacks import CSVLogger\n",
        "\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.utils import plot_model\n",
        "from tensorflow.keras.models import *\n",
        "from tensorflow.keras.layers import *\n",
        "from tensorflow.keras.optimizers import *\n",
        "from tensorflow.keras.callbacks import ModelCheckpoint, ReduceLROnPlateau, EarlyStopping, TensorBoard\n",
        "\n",
        "import sklearn\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report\n",
        "\n",
        "#Opsional, setting standar penulisan angka\n",
        "np.set_printoptions(precision=3, suppress=True)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:49:17.992531Z",
          "iopub.execute_input": "2022-07-22T05:49:17.993086Z",
          "iopub.status.idle": "2022-07-22T05:49:48.141437Z",
          "shell.execute_reply.started": "2022-07-22T05:49:17.992963Z",
          "shell.execute_reply": "2022-07-22T05:49:48.140122Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y3Y6wiJ-zOVT",
        "outputId": "e538da31-a06f-43e1-aa22-5274617b348c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: matplotlib==3.3.0 in /usr/local/lib/python3.8/dist-packages (3.3.0)\n",
            "Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (1.21.6)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (1.4.4)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (2.8.2)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (3.0.9)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (7.1.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib==3.3.0) (0.11.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.1->matplotlib==3.3.0) (1.15.0)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting nibabel==3.2\n",
            "  Downloading nibabel-3.2.0-py3-none-any.whl (3.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m71.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.14 in /usr/local/lib/python3.8/dist-packages (from nibabel==3.2) (1.21.6)\n",
            "Requirement already satisfied: packaging>=14.3 in /usr/local/lib/python3.8/dist-packages (from nibabel==3.2) (21.3)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging>=14.3->nibabel==3.2) (3.0.9)\n",
            "Installing collected packages: nibabel\n",
            "  Attempting uninstall: nibabel\n",
            "    Found existing installation: nibabel 3.0.2\n",
            "    Uninstalling nibabel-3.0.2:\n",
            "      Successfully uninstalled nibabel-3.0.2\n",
            "Successfully installed nibabel-3.2.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#!pip freeze > requirements.txt"
      ],
      "metadata": {
        "id": "0W2v6NU-vUwB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nNNcFlTozVZk",
        "outputId": "746f25fe-ce25-4e8f-d8aa-d11760855597"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Mendefinisikan kelas dan parameter segmentasi MRI\n",
        "\n",
        "SEGMENT_CLASSES = {\n",
        "    0 : 'Bukan Tumor',\n",
        "    1 : 'Necrotic/Core',\n",
        "    2 : 'Edema',\n",
        "    3 : 'Enhancing'\n",
        "}\n",
        "\n",
        "VOLUME_SLICES = 100\n",
        "VOLUME_START_AT = 22"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:49:48.143359Z",
          "iopub.execute_input": "2022-07-22T05:49:48.144062Z",
          "iopub.status.idle": "2022-07-22T05:49:48.149166Z",
          "shell.execute_reply.started": "2022-07-22T05:49:48.144028Z",
          "shell.execute_reply": "2022-07-22T05:49:48.148443Z"
        },
        "trusted": true,
        "id": "fGI7B2vhzOVW"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Visualisasi Citra MRI"
      ],
      "metadata": {
        "id": "pFdPcyGkzOVY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Akses Dataset dari GDrive\n",
        "TRAIN_DATASET_PATH = '/content/drive/MyDrive/DATA WAREHOUSE/BRATs 2020/BraTS2020/BraTS2020_TrainingData/'\n",
        "VALIDATION_DATASET_PATH = '/content/drive/MyDrive/DATA WAREHOUSE/BRATs 2020/BraTS2020/BraTS2020_TrainingData/'\n",
        "\n",
        "test_image_flair = nib.load(TRAIN_DATASET_PATH + 'BraTS20_Training_001/BraTS20_Training_001_flair.nii').get_fdata()\n",
        "test_image_T1 = nib.load(TRAIN_DATASET_PATH + 'BraTS20_Training_001/BraTS20_Training_001_t1.nii').get_fdata()\n",
        "test_image_T1ce = nib.load(TRAIN_DATASET_PATH + 'BraTS20_Training_001/BraTS20_Training_001_t1ce.nii').get_fdata()\n",
        "test_image_T2 = nib.load(TRAIN_DATASET_PATH + 'BraTS20_Training_001/BraTS20_Training_001_t2.nii').get_fdata()\n",
        "test_image_seg = nib.load(TRAIN_DATASET_PATH + 'BraTS20_Training_001/BraTS20_Training_001_seg.nii').get_fdata()\n",
        "\n",
        "slice_w = 20\n",
        "\n",
        "fic, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(1, 5, figsize = (20, 10))\n",
        "ax1.imshow(test_image_flair[:,:,test_image_flair.shape[0]//2-slice_w], cmap='gray')\n",
        "ax1.set_title('Flair')\n",
        "ax2.imshow(test_image_T1[:,:,test_image_flair.shape[0]//2-slice_w], cmap='gray')\n",
        "ax2.set_title('T1 Weighted')\n",
        "ax3.imshow(test_image_T1ce[:,:,test_image_flair.shape[0]//2-slice_w], cmap='gray')\n",
        "ax3.set_title('T1-Contrast Enhanced')\n",
        "ax4.imshow(test_image_T2[:,:,test_image_flair.shape[0]//2-slice_w], cmap='gray')\n",
        "ax4.set_title('T2 Weighted')\n",
        "ax5.imshow(test_image_seg[:,:,test_image_flair.shape[0]//2-slice_w], cmap='gray')\n",
        "ax5.set_title('Segmented')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:49:48.150150Z",
          "iopub.execute_input": "2022-07-22T05:49:48.151035Z",
          "iopub.status.idle": "2022-07-22T05:49:49.703321Z",
          "shell.execute_reply.started": "2022-07-22T05:49:48.151002Z",
          "shell.execute_reply": "2022-07-22T05:49:49.702364Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 274
        },
        "id": "HBxvMR9zzOVY",
        "outputId": "a1120cd0-c3bf-4417-de15-bee6b273fc80"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Segmented')"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 5 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Visualisasi tiap slice dataset nifti\n",
        "\n",
        "fig, ax1 = plt.subplots(1, 1, figsize=(15,15))\n",
        "ax1.imshow(rotate(montage(test_image_T1[50:-50,:,:]), 90, resize=True), cmap='gray')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:49:49.705241Z",
          "iopub.execute_input": "2022-07-22T05:49:49.705821Z",
          "iopub.status.idle": "2022-07-22T05:49:51.118087Z",
          "shell.execute_reply.started": "2022-07-22T05:49:49.705775Z",
          "shell.execute_reply": "2022-07-22T05:49:51.116953Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        },
        "id": "yn8LmoiVzOVa",
        "outputId": "a111293f-8029-423c-db20-e4800da8cf10"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7fac4f14a370>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x1080 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Build Model"
      ],
      "metadata": {
        "id": "RtkceP4AzOVd"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## UNet model"
      ],
      "metadata": {
        "id": "FEz1x6uYzOVd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def build_unet(inputs, ker_init, dropout):\n",
        "    conv1 = Conv2D(32, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(inputs)\n",
        "    conv1 = Conv2D(32, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv1)\n",
        "    \n",
        "    pool = MaxPooling2D(pool_size=(2, 2))(conv1)\n",
        "    conv = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool)\n",
        "    conv = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv)\n",
        "    \n",
        "    pool1 = MaxPooling2D(pool_size=(2, 2))(conv)\n",
        "    conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool1)\n",
        "    conv2 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv2)\n",
        "    \n",
        "    pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n",
        "    conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool2)\n",
        "    conv3 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv3)\n",
        "    \n",
        "    pool4 = MaxPooling2D(pool_size=(2, 2))(conv3)\n",
        "    conv5 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool4)\n",
        "    conv5 = Conv2D(512, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv5)\n",
        "    drop5 = Dropout(dropout)(conv5)\n",
        "\n",
        "    up7 = Conv2D(256, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(drop5))\n",
        "    merge7 = concatenate([conv3,up7], axis = 3)\n",
        "    conv7 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge7)\n",
        "    conv7 = Conv2D(256, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv7)\n",
        "\n",
        "    up8 = Conv2D(128, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv7))\n",
        "    merge8 = concatenate([conv2,up8], axis = 3)\n",
        "    conv8 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge8)\n",
        "    conv8 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv8)\n",
        "\n",
        "    up9 = Conv2D(64, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv8))\n",
        "    merge9 = concatenate([conv,up9], axis = 3)\n",
        "    conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge9)\n",
        "    conv9 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv9)\n",
        "    \n",
        "    up = Conv2D(32, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv9))\n",
        "    merge = concatenate([conv1,up], axis = 3)\n",
        "    conv = Conv2D(32, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge)\n",
        "    conv = Conv2D(32, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv)\n",
        "    \n",
        "    conv10 = Conv2D(4, (1,1), activation = 'softmax')(conv)\n",
        "    \n",
        "    return Model(inputs = inputs, outputs = conv10)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.087839Z",
          "iopub.execute_input": "2022-07-22T05:50:06.088162Z",
          "iopub.status.idle": "2022-07-22T05:50:06.108332Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.088135Z",
          "shell.execute_reply": "2022-07-22T05:50:06.105437Z"
        },
        "trusted": true,
        "id": "rAfG5aE6zOVe"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## UBNetSeg Model"
      ],
      "metadata": {
        "id": "RuNBIXx_zOVf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def build_UBNetSeg(inputs, ker_init, dropout):\n",
        "    conv1 = Conv2D(16, 7, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(inputs)\n",
        "    conv1 = Conv2D(16, 7, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv1)\n",
        "    pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n",
        "\n",
        "    conv2 = Conv2D(32, 5, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool1)\n",
        "    conv2 = Conv2D(32, 5, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv2)\n",
        "    pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n",
        "\n",
        "    conv3 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool2)\n",
        "    #conv3 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv3)\n",
        "    pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n",
        "\n",
        "    conv4 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(pool3)\n",
        "    conv4 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv4)\n",
        "    #pool4 = MaxPooling2D(pool_size=(2, 2))(conv3)\n",
        "\n",
        "    conv6 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv4)\n",
        "    conv6 = Conv2D(128, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv6)\n",
        "\n",
        "    up7 = Conv2D(128, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv6))\n",
        "    merge7 = concatenate([conv3, up7], axis = 3)\n",
        "    \n",
        "    conv7 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge7)\n",
        "    #conv7 = Conv2D(64, 3, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv7)\n",
        "\n",
        "    up8 = Conv2D(64, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv7))\n",
        "    merge8 = concatenate([conv2, up8], axis = 3)\n",
        "    conv8 = Conv2D(32, 5, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge8)\n",
        "    conv8 = Conv2D(32, 5, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv8)\n",
        "\n",
        "    up9 = Conv2D(32, 2, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(UpSampling2D(size = (2,2))(conv8))\n",
        "    merge9 = concatenate([conv1, up9], axis = 3)\n",
        "    conv9 = Conv2D(16, 7, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(merge9)\n",
        "    conv9 = Conv2D(16, 7, activation = 'relu', padding = 'same', kernel_initializer = ker_init)(conv9)\n",
        "    \n",
        "    conv10 = Conv2D(4, (1,1), activation = 'softmax')(conv9)\n",
        "    \n",
        "    return Model(inputs = inputs, outputs = conv10)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.110056Z",
          "iopub.execute_input": "2022-07-22T05:50:06.110439Z",
          "iopub.status.idle": "2022-07-22T05:50:06.169383Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.110407Z",
          "shell.execute_reply": "2022-07-22T05:50:06.168412Z"
        },
        "trusted": true,
        "id": "U4dColbizOVf"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Evaluation and Compile "
      ],
      "metadata": {
        "id": "PrWCjy5ezOVg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Fungsi menghitung precision, sensitivity, dan specificity\n",
        "def precision(y_true, y_pred):\n",
        "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
        "        predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))\n",
        "        precision = true_positives / (predicted_positives + K.epsilon())\n",
        "        return precision\n",
        "\n",
        "def sensitivity(y_true, y_pred):\n",
        "    true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
        "    possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))\n",
        "    return true_positives / (possible_positives + K.epsilon())\n",
        "\n",
        "def specificity(y_true, y_pred):\n",
        "    true_negatives = K.sum(K.round(K.clip((1-y_true) * (1-y_pred), 0, 1)))\n",
        "    possible_negatives = K.sum(K.round(K.clip(1-y_true, 0, 1)))\n",
        "    return true_negatives / (possible_negatives + K.epsilon())"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.170963Z",
          "iopub.execute_input": "2022-07-22T05:50:06.172143Z",
          "iopub.status.idle": "2022-07-22T05:50:06.184102Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.172099Z",
          "shell.execute_reply": "2022-07-22T05:50:06.183042Z"
        },
        "trusted": true,
        "id": "A-ZaW99IzOVg"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Fungsi menghitung dice coefficient keseluruhan\n",
        "def dice_coef(y_true, y_pred, smooth=1.0):\n",
        "    class_num = 4\n",
        "    for i in range(class_num):\n",
        "        y_true_f = K.flatten(y_true[:,:,:,i])\n",
        "        y_pred_f = K.flatten(y_pred[:,:,:,i])\n",
        "        intersection = K.sum(y_true_f * y_pred_f)\n",
        "        loss = ((2. * intersection + smooth) / (K.sum(y_true_f) + K.sum(y_pred_f) + smooth))\n",
        "        if i == 0:\n",
        "            total_loss = loss\n",
        "        else:\n",
        "            total_loss = total_loss + loss\n",
        "    total_loss = total_loss / class_num\n",
        "    return total_loss"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.188009Z",
          "iopub.execute_input": "2022-07-22T05:50:06.188850Z",
          "iopub.status.idle": "2022-07-22T05:50:06.202311Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.188810Z",
          "shell.execute_reply": "2022-07-22T05:50:06.201364Z"
        },
        "trusted": true,
        "id": "kyX3_l99zOVh"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Compile Model\n",
        "\n",
        "#ukuran citra\n",
        "IMG_SIZE = 128\n",
        "input_layer = Input((IMG_SIZE, IMG_SIZE, 2))\n",
        "\n",
        "model = build_unet(input_layer, 'he_normal', 0.2)\n",
        "model.compile(loss = \"categorical_crossentropy\",\n",
        "              optimizer = tf.keras.optimizers.Adam(learning_rate=0.001),\n",
        "              metrics = ['accuracy', tf.keras.metrics.MeanIoU(num_classes=4),\n",
        "                        dice_coef,\n",
        "                        precision,\n",
        "                        sensitivity,\n",
        "                        specificity]\n",
        "             )"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.204919Z",
          "iopub.execute_input": "2022-07-22T05:50:06.205612Z",
          "iopub.status.idle": "2022-07-22T05:50:06.675919Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.205555Z",
          "shell.execute_reply": "2022-07-22T05:50:06.674772Z"
        },
        "trusted": true,
        "id": "dR5XOu4PzOVi"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Plot model yang digunakan\n",
        "\n",
        "'''\n",
        "plot_model(model, \n",
        "           show_shapes = True,\n",
        "           show_dtype=False,\n",
        "           show_layer_names = True, \n",
        "           rankdir = 'TB', \n",
        "           expand_nested = False, \n",
        "           dpi = 70)\n",
        "'''"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:06.677349Z",
          "iopub.execute_input": "2022-07-22T05:50:06.677643Z",
          "iopub.status.idle": "2022-07-22T05:50:08.019522Z",
          "shell.execute_reply.started": "2022-07-22T05:50:06.677618Z",
          "shell.execute_reply": "2022-07-22T05:50:08.018024Z"
        },
        "trusted": true,
        "id": "S_IdwUtuzOVj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        },
        "outputId": "88635256-a241-42d2-c31f-cc0677a426fe"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"\\nplot_model(model, \\n           show_shapes = True,\\n           show_dtype=False,\\n           show_layer_names = True, \\n           rankdir = 'TB', \\n           expand_nested = False, \\n           dpi = 70)\\n\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load Data"
      ],
      "metadata": {
        "id": "TV_Pck3zzOVk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_and_val_directories = [f.path for f in os.scandir(TRAIN_DATASET_PATH) if f.is_dir()]\n",
        "train_and_val_directories.remove(TRAIN_DATASET_PATH+'BraTS20_Training_355')\n",
        "\n",
        "\n",
        "def pathListIntoIds(dirList):\n",
        "    x = []\n",
        "    for i in range(0,len(dirList)):\n",
        "        x.append(dirList[i][dirList[i].rfind('/')+1:])\n",
        "    return x\n",
        "\n",
        "train_and_test_ids = pathListIntoIds(train_and_val_directories); \n",
        "\n",
        "    \n",
        "train_test_ids, val_ids = train_test_split(train_and_test_ids,test_size=0.2) \n",
        "train_ids, test_ids = train_test_split(train_test_ids,test_size=0.15) "
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.021453Z",
          "iopub.execute_input": "2022-07-22T05:50:08.021930Z",
          "iopub.status.idle": "2022-07-22T05:50:08.115371Z",
          "shell.execute_reply.started": "2022-07-22T05:50:08.021892Z",
          "shell.execute_reply": "2022-07-22T05:50:08.114114Z"
        },
        "trusted": true,
        "id": "NCUuU3WwzOVk"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_ids[:10]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.116818Z",
          "iopub.execute_input": "2022-07-22T05:50:08.117272Z",
          "iopub.status.idle": "2022-07-22T05:50:08.124408Z",
          "shell.execute_reply.started": "2022-07-22T05:50:08.117238Z",
          "shell.execute_reply": "2022-07-22T05:50:08.123363Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UFVsRjMfzOVl",
        "outputId": "5a67cc40-e7d5-4032-9ab7-704823b0ad93"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['BraTS20_Training_212',\n",
              " 'BraTS20_Training_167',\n",
              " 'BraTS20_Training_013',\n",
              " 'BraTS20_Training_232',\n",
              " 'BraTS20_Training_334',\n",
              " 'BraTS20_Training_293',\n",
              " 'BraTS20_Training_361',\n",
              " 'BraTS20_Training_106',\n",
              " 'BraTS20_Training_006',\n",
              " 'BraTS20_Training_287']"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class DataGenerator(tf.keras.utils.Sequence):\n",
        "    'Generates data for Keras'\n",
        "    def __init__(self, list_IDs, dim=(IMG_SIZE,IMG_SIZE), batch_size = 1, n_channels = 2, shuffle=True):\n",
        "        'Initialization'\n",
        "        self.dim = dim\n",
        "        self.batch_size = batch_size\n",
        "        self.list_IDs = list_IDs\n",
        "        self.n_channels = n_channels\n",
        "        self.shuffle = shuffle\n",
        "        self.on_epoch_end()\n",
        "\n",
        "    def __len__(self):\n",
        "        'Denotes the number of batches per epoch'\n",
        "        return int(np.floor(len(self.list_IDs) / self.batch_size))\n",
        "\n",
        "    def __getitem__(self, index):\n",
        "        'Generate one batch of data'\n",
        "        # Generate indexes of the batch\n",
        "        indexes = self.indexes[index*self.batch_size:(index+1)*self.batch_size]\n",
        "\n",
        "        # Find list of IDs\n",
        "        Batch_ids = [self.list_IDs[k] for k in indexes]\n",
        "\n",
        "        # Generate data\n",
        "        X, y = self.__data_generation(Batch_ids)\n",
        "\n",
        "        return X, y\n",
        "\n",
        "    def on_epoch_end(self):\n",
        "        'Updates indexes after each epoch'\n",
        "        self.indexes = np.arange(len(self.list_IDs))\n",
        "        if self.shuffle == True:\n",
        "            np.random.shuffle(self.indexes)\n",
        "\n",
        "    def __data_generation(self, Batch_ids):\n",
        "        'Generates data containing batch_size samples' # X : (n_samples, *dim, n_channels)\n",
        "        # Initialization\n",
        "        X = np.zeros((self.batch_size*VOLUME_SLICES, *self.dim, self.n_channels))\n",
        "        y = np.zeros((self.batch_size*VOLUME_SLICES, 240, 240))\n",
        "        Y = np.zeros((self.batch_size*VOLUME_SLICES, *self.dim, 4))\n",
        "\n",
        "        \n",
        "        # Generate data\n",
        "        for c, i in enumerate(Batch_ids):\n",
        "            case_path = os.path.join(TRAIN_DATASET_PATH, i)\n",
        "\n",
        "            data_path = os.path.join(case_path, f'{i}_flair.nii');\n",
        "            flair = nib.load(data_path).get_fdata()    \n",
        "\n",
        "            data_path = os.path.join(case_path, f'{i}_t1ce.nii');\n",
        "            ce = nib.load(data_path).get_fdata()\n",
        "            \n",
        "            data_path = os.path.join(case_path, f'{i}_seg.nii');\n",
        "            seg = nib.load(data_path).get_fdata()\n",
        "        \n",
        "            for j in range(VOLUME_SLICES):\n",
        "                 X[j +VOLUME_SLICES*c,:,:,0] = cv2.resize(flair[:,:,j+VOLUME_START_AT], (IMG_SIZE, IMG_SIZE));\n",
        "                 X[j +VOLUME_SLICES*c,:,:,1] = cv2.resize(ce[:,:,j+VOLUME_START_AT], (IMG_SIZE, IMG_SIZE));\n",
        "\n",
        "                 y[j +VOLUME_SLICES*c] = seg[:,:,j+VOLUME_START_AT];\n",
        "                    \n",
        "        # Generate masks\n",
        "        y[y==4] = 3;\n",
        "        mask = tf.one_hot(y, 4);\n",
        "        Y = tf.image.resize(mask, (IMG_SIZE, IMG_SIZE));\n",
        "        return X/np.max(X), Y\n",
        "        \n",
        "training_generator = DataGenerator(train_ids)\n",
        "valid_generator = DataGenerator(val_ids)\n",
        "test_generator = DataGenerator(test_ids)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.126107Z",
          "iopub.execute_input": "2022-07-22T05:50:08.126594Z",
          "iopub.status.idle": "2022-07-22T05:50:08.145323Z",
          "shell.execute_reply.started": "2022-07-22T05:50:08.126551Z",
          "shell.execute_reply": "2022-07-22T05:50:08.144380Z"
        },
        "trusted": true,
        "id": "WcR3rdnmzOVl"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# show number of data for each dir \n",
        "def showDataLayout():\n",
        "    plt.bar([\"Train\",\"Valid\",\"Test\"],\n",
        "    [len(train_ids), len(val_ids), len(test_ids)], align='center',color=[ 'green','red', 'blue'])\n",
        "    plt.legend()\n",
        "\n",
        "    plt.ylabel('Number of images')\n",
        "    plt.title('Data distribution')\n",
        "\n",
        "    plt.show()\n",
        "    \n",
        "showDataLayout()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.146730Z",
          "iopub.execute_input": "2022-07-22T05:50:08.147062Z",
          "iopub.status.idle": "2022-07-22T05:50:08.322495Z",
          "shell.execute_reply.started": "2022-07-22T05:50:08.147033Z",
          "shell.execute_reply": "2022-07-22T05:50:08.321386Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "VJHZMHzXzOVm",
        "outputId": "88327dbf-8167-4e15-f495-0071fa305ceb"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "csv_logger = CSVLogger('/content/training_UNet.log', separator=',', append=False)\n",
        "\n",
        "\n",
        "callbacks = [\n",
        "    keras.callbacks.ReduceLROnPlateau(monitor='val_loss',\n",
        "                                      factor=0.2,\n",
        "                                      patience=2, \n",
        "                                      min_lr=0.000001, \n",
        "                                      verbose=1),\n",
        "    csv_logger]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.324235Z",
          "iopub.execute_input": "2022-07-22T05:50:08.324817Z",
          "iopub.status.idle": "2022-07-22T05:50:08.331694Z",
          "shell.execute_reply.started": "2022-07-22T05:50:08.324780Z",
          "shell.execute_reply": "2022-07-22T05:50:08.330256Z"
        },
        "trusted": true,
        "id": "jw48QmZEzOVm"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Training Model"
      ],
      "metadata": {
        "id": "xkPzNhpDzOVm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "K.clear_session()\n",
        "\n",
        "history =  model.fit(training_generator,\n",
        "                    epochs=50,\n",
        "                    steps_per_epoch=len(train_ids),\n",
        "                    callbacks= callbacks,\n",
        "                    validation_data = valid_generator)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2022-07-22T05:50:08.333490Z",
          "iopub.execute_input": "2022-07-22T05:50:08.334228Z"
        },
        "trusted": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v5ge1BC5zOVm",
        "outputId": "da29c47c-3d29-4f83-c739-5ad06d5fc012"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "249/249 [==============================] - 1822s 7s/step - loss: 0.1132 - accuracy: 0.9836 - mean_io_u: 0.5224 - dice_coef: 0.2643 - precision: 0.9815 - sensitivity: 0.9676 - specificity: 0.9946 - val_loss: 0.0769 - val_accuracy: 0.9815 - val_mean_io_u: 0.6694 - val_dice_coef: 0.2685 - val_precision: 0.9815 - val_sensitivity: 0.9815 - val_specificity: 0.9938 - lr: 0.0010\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model.save(\"/content/model_UBNetSeg_3DMRI.h5\")"
      ],
      "metadata": {
        "id": "O_1gKDnjbKIn"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = keras.models.load_model('/content/model_UBNetSeg_3DMRI.h5',\n",
        "                                custom_objects={ 'accuracy' : tf.keras.metrics.MeanIoU(num_classes=4),\n",
        "                                                   \"dice_coef\": dice_coef,\n",
        "                                                   \"precision\": precision,\n",
        "                                                   \"sensitivity\":sensitivity,\n",
        "                                                   \"specificity\":specificity\n",
        "                                                  },\n",
        "                                compile=False)"
      ],
      "metadata": {
        "trusted": true,
        "id": "LtQ3X8elzOVp"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "history = pd.read_csv('/content/training_UNet.log', sep=',', engine='python')\n",
        "hist=history\n",
        "\n",
        "\n",
        "acc=hist['accuracy']\n",
        "val_acc=hist['val_accuracy']\n",
        "\n",
        "epoch=range(len(acc))\n",
        "\n",
        "loss=hist['loss']\n",
        "val_loss=hist['val_loss']\n",
        "\n",
        "train_dice=hist['dice_coef']\n",
        "val_dice=hist['val_dice_coef']\n",
        "\n",
        "iou = hist['mean_io_u']\n",
        "val_iou = hist['val_mean_io_u']\n",
        "\n",
        "\n",
        "f,ax=plt.subplots(1,4,figsize=(16,8))\n",
        "\n",
        "ax[0].plot(epoch,acc,'b',label='Training Accuracy')\n",
        "ax[0].plot(epoch,val_acc,'r',label='Validation Accuracy')\n",
        "ax[0].legend()\n",
        "\n",
        "ax[1].plot(epoch,loss,'b',label='Training Loss')\n",
        "ax[1].plot(epoch,val_loss,'r',label='Validation Loss')\n",
        "ax[1].legend()\n",
        "\n",
        "ax[2].plot(epoch,train_dice,'b',label='Training dice coef')\n",
        "ax[2].plot(epoch,val_dice,'r',label='Validation dice coef')\n",
        "ax[2].legend()\n",
        "\n",
        "ax[3].plot(epoch,iou,'b',label='Training mean IOU')\n",
        "ax[3].plot(epoch,val_iou,'r',label='Validation mean IOU')\n",
        "ax[3].legend()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "Bsm5jNdibX82",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "outputId": "42f06d32-d751-45c5-ce87-07c84ec7635e"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x576 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hist.head()"
      ],
      "metadata": {
        "trusted": true,
        "id": "IwYJXaTQzOVq",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 145
        },
        "outputId": "53b1ef23-526a-44dd-f316-439e46800961"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   epoch  accuracy  dice_coef      loss     lr  mean_io_u  precision  \\\n",
              "0      0   0.98359   0.264337  0.113168  0.001   0.522372    0.98154   \n",
              "\n",
              "   sensitivity  specificity  val_accuracy  val_dice_coef  val_loss  \\\n",
              "0     0.967582     0.994558      0.981542        0.26855  0.076883   \n",
              "\n",
              "   val_mean_io_u  val_precision  val_sensitivity  val_specificity  \n",
              "0       0.669433       0.981485         0.981514         0.993839  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d81f0d01-53a8-4fdd-86ec-2436a5477972\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>epoch</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>dice_coef</th>\n",
              "      <th>loss</th>\n",
              "      <th>lr</th>\n",
              "      <th>mean_io_u</th>\n",
              "      <th>precision</th>\n",
              "      <th>sensitivity</th>\n",
              "      <th>specificity</th>\n",
              "      <th>val_accuracy</th>\n",
              "      <th>val_dice_coef</th>\n",
              "      <th>val_loss</th>\n",
              "      <th>val_mean_io_u</th>\n",
              "      <th>val_precision</th>\n",
              "      <th>val_sensitivity</th>\n",
              "      <th>val_specificity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0.98359</td>\n",
              "      <td>0.264337</td>\n",
              "      <td>0.113168</td>\n",
              "      <td>0.001</td>\n",
              "      <td>0.522372</td>\n",
              "      <td>0.98154</td>\n",
              "      <td>0.967582</td>\n",
              "      <td>0.994558</td>\n",
              "      <td>0.981542</td>\n",
              "      <td>0.26855</td>\n",
              "      <td>0.076883</td>\n",
              "      <td>0.669433</td>\n",
              "      <td>0.981485</td>\n",
              "      <td>0.981514</td>\n",
              "      <td>0.993839</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d81f0d01-53a8-4fdd-86ec-2436a5477972')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d81f0d01-53a8-4fdd-86ec-2436a5477972 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d81f0d01-53a8-4fdd-86ec-2436a5477972');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    }
  ]
}