unet_segmentation_lungs.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from models.UNet import *\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(213, 64, 64, 1) (213, 64, 64, 1)\n",
      "(54, 64, 64, 1) (54, 64, 64, 1)\n"
     ]
    }
   ],
   "source": [
    "x_train = np.load('./dataset/x_train.npy')\n",
    "y_train = np.load('./dataset/y_train.npy')\n",
    "x_test = np.load('./dataset/x_test.npy')\n",
    "y_test = np.load('./dataset/y_test.npy')\n",
    "\n",
    "print(x_train.shape, y_train.shape)\n",
    "print(x_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmentation Class U-Net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "seg_model = UNet(img_shape = x_train[0].shape, num_of_class = 1,learning_rate = 2e-4, do_drop = True, drop_rate = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 64, 64, 1)    0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)               (None, 64, 64, 64)   640         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 64, 64, 64)   36928       conv2d_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 32, 32, 64)   0           conv2d_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_3 (Conv2D)               (None, 32, 32, 128)  73856       max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_4 (Conv2D)               (None, 32, 32, 128)  147584      conv2d_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2D)  (None, 16, 16, 128)  0           conv2d_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_5 (Conv2D)               (None, 16, 16, 256)  295168      max_pooling2d_2[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_6 (Conv2D)               (None, 16, 16, 256)  590080      conv2d_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2D)  (None, 8, 8, 256)    0           conv2d_6[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_7 (Conv2D)               (None, 8, 8, 512)    1180160     max_pooling2d_3[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_8 (Conv2D)               (None, 8, 8, 512)    2359808     conv2d_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2D)  (None, 4, 4, 512)    0           conv2d_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_9 (Conv2D)               (None, 4, 4, 1024)   4719616     max_pooling2d_4[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "dropout_1 (Dropout)             (None, 4, 4, 1024)   0           conv2d_9[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_10 (Conv2D)              (None, 4, 4, 1024)   9438208     dropout_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "dropout_2 (Dropout)             (None, 4, 4, 1024)   0           conv2d_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_1 (Conv2DTrans (None, 8, 8, 512)    4719104     dropout_2[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 8, 8, 1024)   0           conv2d_transpose_1[0][0]         \n",
      "                                                                 conv2d_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_11 (Conv2D)              (None, 8, 8, 512)    4719104     concatenate_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_12 (Conv2D)              (None, 8, 8, 512)    2359808     conv2d_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_2 (Conv2DTrans (None, 16, 16, 256)  1179904     conv2d_12[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_2 (Concatenate)     (None, 16, 16, 512)  0           conv2d_transpose_2[0][0]         \n",
      "                                                                 conv2d_6[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_13 (Conv2D)              (None, 16, 16, 256)  1179904     concatenate_2[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_14 (Conv2D)              (None, 16, 16, 256)  590080      conv2d_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_3 (Conv2DTrans (None, 32, 32, 128)  295040      conv2d_14[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_3 (Concatenate)     (None, 32, 32, 256)  0           conv2d_transpose_3[0][0]         \n",
      "                                                                 conv2d_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_15 (Conv2D)              (None, 32, 32, 128)  295040      concatenate_3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_16 (Conv2D)              (None, 32, 32, 128)  147584      conv2d_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_4 (Conv2DTrans (None, 64, 64, 64)   73792       conv2d_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_4 (Concatenate)     (None, 64, 64, 128)  0           conv2d_transpose_4[0][0]         \n",
      "                                                                 conv2d_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_17 (Conv2D)              (None, 64, 64, 64)   73792       concatenate_4[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_18 (Conv2D)              (None, 64, 64, 64)   36928       conv2d_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_19 (Conv2D)              (None, 64, 64, 1)    65          conv2d_18[0][0]                  \n",
      "==================================================================================================\n",
      "Total params: 34,512,193\n",
      "Trainable params: 34,512,193\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "seg_model.show_model()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 170 samples, validate on 43 samples\n",
      "Epoch 1/100\n",
      "170/170 [==============================] - 18s 104ms/step - loss: 0.6362 - dice_coef: 0.2977 - val_loss: 0.5813 - val_dice_coef: 0.2477\n",
      "Epoch 2/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.5644 - dice_coef: 0.2608 - val_loss: 0.5101 - val_dice_coef: 0.2575\n",
      "Epoch 3/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.4819 - dice_coef: 0.2886 - val_loss: 0.4182 - val_dice_coef: 0.3495\n",
      "Epoch 4/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.3866 - dice_coef: 0.3961 - val_loss: 0.3287 - val_dice_coef: 0.4904\n",
      "Epoch 5/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.3542 - dice_coef: 0.5013 - val_loss: 0.3082 - val_dice_coef: 0.5041\n",
      "Epoch 6/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.3273 - dice_coef: 0.4939 - val_loss: 0.2880 - val_dice_coef: 0.5382\n",
      "Epoch 7/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.2904 - dice_coef: 0.5711 - val_loss: 0.2446 - val_dice_coef: 0.6012\n",
      "Epoch 8/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.2425 - dice_coef: 0.6281 - val_loss: 0.1996 - val_dice_coef: 0.6921\n",
      "Epoch 9/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.2075 - dice_coef: 0.6991 - val_loss: 0.1699 - val_dice_coef: 0.7430\n",
      "Epoch 10/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.1615 - dice_coef: 0.7713 - val_loss: 0.1671 - val_dice_coef: 0.7730\n",
      "Epoch 11/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.1503 - dice_coef: 0.8102 - val_loss: 0.1705 - val_dice_coef: 0.7719\n",
      "Epoch 12/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.1411 - dice_coef: 0.8136 - val_loss: 0.1220 - val_dice_coef: 0.8277\n",
      "Epoch 13/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.1183 - dice_coef: 0.8414 - val_loss: 0.1210 - val_dice_coef: 0.8528\n",
      "Epoch 14/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.1101 - dice_coef: 0.8651 - val_loss: 0.1055 - val_dice_coef: 0.8656\n",
      "Epoch 15/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0989 - dice_coef: 0.8713 - val_loss: 0.1267 - val_dice_coef: 0.8331\n",
      "Epoch 16/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0988 - dice_coef: 0.8696 - val_loss: 0.0957 - val_dice_coef: 0.8844\n",
      "Epoch 17/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0941 - dice_coef: 0.8922 - val_loss: 0.1018 - val_dice_coef: 0.8881\n",
      "Epoch 18/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.0867 - dice_coef: 0.8986 - val_loss: 0.0900 - val_dice_coef: 0.8890\n",
      "Epoch 19/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.0811 - dice_coef: 0.8962 - val_loss: 0.0905 - val_dice_coef: 0.8875\n",
      "Epoch 20/100\n",
      "170/170 [==============================] - 1s 4ms/step - loss: 0.0768 - dice_coef: 0.9011 - val_loss: 0.0853 - val_dice_coef: 0.9000\n",
      "Epoch 21/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0745 - dice_coef: 0.9095 - val_loss: 0.0841 - val_dice_coef: 0.9049\n",
      "Epoch 22/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0734 - dice_coef: 0.9108 - val_loss: 0.0819 - val_dice_coef: 0.9043\n",
      "Epoch 23/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0695 - dice_coef: 0.9122 - val_loss: 0.0886 - val_dice_coef: 0.8999\n",
      "Epoch 24/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0706 - dice_coef: 0.9138 - val_loss: 0.0827 - val_dice_coef: 0.9088\n",
      "Epoch 25/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0675 - dice_coef: 0.9216 - val_loss: 0.0785 - val_dice_coef: 0.9166\n",
      "Epoch 26/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0647 - dice_coef: 0.9225 - val_loss: 0.0775 - val_dice_coef: 0.9124\n",
      "Epoch 27/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0661 - dice_coef: 0.9164 - val_loss: 0.0806 - val_dice_coef: 0.9119\n",
      "Epoch 28/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0627 - dice_coef: 0.9246 - val_loss: 0.0800 - val_dice_coef: 0.9191\n",
      "Epoch 29/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0655 - dice_coef: 0.9280 - val_loss: 0.0745 - val_dice_coef: 0.9218\n",
      "Epoch 30/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0593 - dice_coef: 0.9283 - val_loss: 0.0737 - val_dice_coef: 0.9195\n",
      "Epoch 31/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0584 - dice_coef: 0.9271 - val_loss: 0.0720 - val_dice_coef: 0.9237\n",
      "Epoch 32/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0571 - dice_coef: 0.9309 - val_loss: 0.0738 - val_dice_coef: 0.9246\n",
      "Epoch 33/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0589 - dice_coef: 0.9338 - val_loss: 0.0786 - val_dice_coef: 0.9194\n",
      "Epoch 34/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0586 - dice_coef: 0.9317 - val_loss: 0.0700 - val_dice_coef: 0.9261\n",
      "Epoch 35/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0567 - dice_coef: 0.9327 - val_loss: 0.0780 - val_dice_coef: 0.9209\n",
      "Epoch 36/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0588 - dice_coef: 0.9290 - val_loss: 0.0718 - val_dice_coef: 0.9280\n",
      "Epoch 37/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0546 - dice_coef: 0.9341 - val_loss: 0.0784 - val_dice_coef: 0.9189\n",
      "Epoch 38/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0577 - dice_coef: 0.9319 - val_loss: 0.0743 - val_dice_coef: 0.9243\n",
      "Epoch 39/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0586 - dice_coef: 0.9334 - val_loss: 0.0790 - val_dice_coef: 0.9223\n",
      "Epoch 40/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0571 - dice_coef: 0.9325 - val_loss: 0.0699 - val_dice_coef: 0.9256\n",
      "Epoch 41/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0547 - dice_coef: 0.9325 - val_loss: 0.0685 - val_dice_coef: 0.9301\n",
      "Epoch 42/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0549 - dice_coef: 0.9389 - val_loss: 0.0781 - val_dice_coef: 0.9284\n",
      "Epoch 43/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0565 - dice_coef: 0.9345 - val_loss: 0.0812 - val_dice_coef: 0.9128\n",
      "Epoch 44/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0569 - dice_coef: 0.9323 - val_loss: 0.0837 - val_dice_coef: 0.9217\n",
      "Epoch 45/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0563 - dice_coef: 0.9365 - val_loss: 0.0726 - val_dice_coef: 0.9250\n",
      "Epoch 46/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0530 - dice_coef: 0.9360 - val_loss: 0.0695 - val_dice_coef: 0.9292\n",
      "Epoch 47/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0502 - dice_coef: 0.9419 - val_loss: 0.0679 - val_dice_coef: 0.9353\n",
      "Epoch 48/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0474 - dice_coef: 0.9448 - val_loss: 0.0637 - val_dice_coef: 0.9358\n",
      "Epoch 49/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0465 - dice_coef: 0.9439 - val_loss: 0.0627 - val_dice_coef: 0.9384\n",
      "Epoch 50/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0452 - dice_coef: 0.9454 - val_loss: 0.0642 - val_dice_coef: 0.9391\n",
      "Epoch 51/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0451 - dice_coef: 0.9475 - val_loss: 0.0658 - val_dice_coef: 0.9413\n",
      "Epoch 52/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0435 - dice_coef: 0.9503 - val_loss: 0.0633 - val_dice_coef: 0.9405\n",
      "Epoch 53/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0422 - dice_coef: 0.9494 - val_loss: 0.0629 - val_dice_coef: 0.9407\n",
      "Epoch 54/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0428 - dice_coef: 0.9496 - val_loss: 0.0630 - val_dice_coef: 0.9426\n",
      "Epoch 55/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0409 - dice_coef: 0.9498 - val_loss: 0.0627 - val_dice_coef: 0.9415\n",
      "Epoch 56/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0395 - dice_coef: 0.9515 - val_loss: 0.0672 - val_dice_coef: 0.9438\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 57/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0393 - dice_coef: 0.9523 - val_loss: 0.0650 - val_dice_coef: 0.9402\n",
      "Epoch 58/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0398 - dice_coef: 0.9527 - val_loss: 0.0708 - val_dice_coef: 0.9406\n",
      "Epoch 59/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0398 - dice_coef: 0.9531 - val_loss: 0.0656 - val_dice_coef: 0.9442\n",
      "Epoch 60/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0392 - dice_coef: 0.9547 - val_loss: 0.0645 - val_dice_coef: 0.9440\n",
      "Epoch 61/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0379 - dice_coef: 0.9548 - val_loss: 0.0628 - val_dice_coef: 0.9445\n",
      "Epoch 62/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0374 - dice_coef: 0.9538 - val_loss: 0.0658 - val_dice_coef: 0.9477\n",
      "Epoch 63/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0394 - dice_coef: 0.9563 - val_loss: 0.0654 - val_dice_coef: 0.9361\n",
      "Epoch 64/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0426 - dice_coef: 0.9468 - val_loss: 0.0682 - val_dice_coef: 0.9425\n",
      "Epoch 65/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0419 - dice_coef: 0.9520 - val_loss: 0.0707 - val_dice_coef: 0.9464\n",
      "Epoch 66/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0425 - dice_coef: 0.9556 - val_loss: 0.0640 - val_dice_coef: 0.9461\n",
      "Epoch 67/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0391 - dice_coef: 0.9541 - val_loss: 0.0621 - val_dice_coef: 0.9436\n",
      "Epoch 68/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0370 - dice_coef: 0.9544 - val_loss: 0.0650 - val_dice_coef: 0.9474\n",
      "Epoch 69/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0389 - dice_coef: 0.9576 - val_loss: 0.0656 - val_dice_coef: 0.9469\n",
      "Epoch 70/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0367 - dice_coef: 0.9558 - val_loss: 0.0611 - val_dice_coef: 0.9427\n",
      "Epoch 71/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0376 - dice_coef: 0.9521 - val_loss: 0.0729 - val_dice_coef: 0.9428\n",
      "Epoch 72/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0397 - dice_coef: 0.9568 - val_loss: 0.0837 - val_dice_coef: 0.9302\n",
      "Epoch 73/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0465 - dice_coef: 0.9446 - val_loss: 0.0685 - val_dice_coef: 0.9346\n",
      "Epoch 74/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0398 - dice_coef: 0.9507 - val_loss: 0.0665 - val_dice_coef: 0.9442\n",
      "Epoch 75/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0375 - dice_coef: 0.9571 - val_loss: 0.0633 - val_dice_coef: 0.9469\n",
      "Epoch 76/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0349 - dice_coef: 0.9575 - val_loss: 0.0666 - val_dice_coef: 0.9469\n",
      "Epoch 77/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0330 - dice_coef: 0.9590 - val_loss: 0.0674 - val_dice_coef: 0.9489\n",
      "Epoch 78/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0316 - dice_coef: 0.9614 - val_loss: 0.0696 - val_dice_coef: 0.9491\n",
      "Epoch 79/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0305 - dice_coef: 0.9620 - val_loss: 0.0727 - val_dice_coef: 0.9507\n",
      "Epoch 80/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0303 - dice_coef: 0.9611 - val_loss: 0.0907 - val_dice_coef: 0.9484\n",
      "Epoch 81/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0307 - dice_coef: 0.9626 - val_loss: 0.0908 - val_dice_coef: 0.9527\n",
      "Epoch 82/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0305 - dice_coef: 0.9645 - val_loss: 0.0746 - val_dice_coef: 0.9469\n",
      "Epoch 83/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0302 - dice_coef: 0.9608 - val_loss: 0.0708 - val_dice_coef: 0.9481\n",
      "Epoch 84/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0286 - dice_coef: 0.9648 - val_loss: 0.0869 - val_dice_coef: 0.9535\n",
      "Epoch 85/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0271 - dice_coef: 0.9669 - val_loss: 0.0802 - val_dice_coef: 0.9502\n",
      "Epoch 86/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0257 - dice_coef: 0.9669 - val_loss: 0.0842 - val_dice_coef: 0.9515\n",
      "Epoch 87/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0243 - dice_coef: 0.9688 - val_loss: 0.0951 - val_dice_coef: 0.9545\n",
      "Epoch 88/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0240 - dice_coef: 0.9700 - val_loss: 0.0977 - val_dice_coef: 0.9534\n",
      "Epoch 89/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0242 - dice_coef: 0.9695 - val_loss: 0.0934 - val_dice_coef: 0.9515\n",
      "Epoch 90/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0233 - dice_coef: 0.9697 - val_loss: 0.0965 - val_dice_coef: 0.9548\n",
      "Epoch 91/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0226 - dice_coef: 0.9716 - val_loss: 0.0998 - val_dice_coef: 0.9559\n",
      "Epoch 92/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0219 - dice_coef: 0.9722 - val_loss: 0.0978 - val_dice_coef: 0.9558\n",
      "Epoch 93/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0213 - dice_coef: 0.9727 - val_loss: 0.1003 - val_dice_coef: 0.9566\n",
      "Epoch 94/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0211 - dice_coef: 0.9732 - val_loss: 0.1017 - val_dice_coef: 0.9564\n",
      "Epoch 95/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0205 - dice_coef: 0.9736 - val_loss: 0.1019 - val_dice_coef: 0.9562\n",
      "Epoch 96/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0203 - dice_coef: 0.9738 - val_loss: 0.1016 - val_dice_coef: 0.9570\n",
      "Epoch 97/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0202 - dice_coef: 0.9743 - val_loss: 0.1028 - val_dice_coef: 0.9569\n",
      "Epoch 98/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0198 - dice_coef: 0.9746 - val_loss: 0.1048 - val_dice_coef: 0.9566\n",
      "Epoch 99/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0199 - dice_coef: 0.9744 - val_loss: 0.1039 - val_dice_coef: 0.9565\n",
      "Epoch 100/100\n",
      "170/170 [==============================] - 1s 5ms/step - loss: 0.0194 - dice_coef: 0.9750 - val_loss: 0.1046 - val_dice_coef: 0.9574\n"
     ]
    }
   ],
   "source": [
    "history = seg_model.train(x_train, y_train, epoch = 100, batch_size = 64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_dice(history)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Show result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "preds = seg_model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x3600 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_num = 10\n",
    "fig, ax = plt.subplots(show_num, 3, figsize=(15, 50))\n",
    "\n",
    "for i, pred in enumerate(preds[:show_num]):\n",
    "    ax[i, 0].imshow(x_test[i].squeeze(), cmap='gray')\n",
    "    ax[i, 1].imshow(y_test[i].squeeze(), cmap='gray')\n",
    "    ax[i, 2].imshow(pred.squeeze(), cmap='gray')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:tensorflow35]",
   "language": "python",
   "name": "conda-env-tensorflow35-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}