{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Prostate cANcer graDe Assessment (PANDA) Challenge: Creating the Training Dataset"},{"metadata":{},"cell_type":"markdown","source":"# Introduction"},{"metadata":{},"cell_type":"markdown","source":"## Prostate Gland and Prostate Cancer"},{"metadata":{},"cell_type":"markdown","source":"The prostate is part of the male reproductive system.  The function of the prostate gland is to secrete substances to the urethra.  These secretions nurish and transport sperm.  Prostate cancer is diagnosed from samples from a prostate biopsy (rmicrobe).  The sample is first assigned as a gleason score.  This score is converted to a ISUP grade of 0-5.  The score of 0 is negative and the score of 5 is the most severe form of cancer (Prostate cANcer GraDe Assessment (PANDA) Challenge).\n\nThe purpose of this notebook is to create the appropriate training model and save it to a .pkl file to use to predict the testing data.  Since using the training model would take longer than six hours to run on the testing data, the .pkl file will be used in the competition notebook."},{"metadata":{},"cell_type":"markdown","source":"## Image Processing, Training, and Creating the .pkl File "},{"metadata":{},"cell_type":"markdown","source":"1. Use the dataset for training from the notebook [Creating Training Dataset](http://www.kaggle.com/rmicrobe/creating-training-dataset) (rmicrobe).\n2. Remove gray area surrounding the biopsy. The first step involves removing the gray area from around the biopsy (Zenify).\n3. Create 4X4 patched image. The second step is to take 16 samples that have the lowest portion of white. This ensures that the sample is most likely going to show the appropriate part of the sample (i.e. glands). (PAB97).\n4. Use fast.ai and ResNet34 to train the data.\n5. Create the .pkl file."},{"metadata":{},"cell_type":"markdown","source":"![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# Import fast.ai and Dependencies"},{"metadata":{},"cell_type":"markdown","source":"## Install fast.ai without Internet"},{"metadata":{},"cell_type":"markdown","source":"Internet is not allowed in this competition.  The files have to be loaded through the fastai2 dataset."},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"!pip install ../input/fastai2/fastprogress-0.2.3-py3-none-any.whl\n!pip install ../input/fastai2/fastcore-0.1.18-py3-none-any.whl\n!pip install ../input/fastai2/fastai2-0.0.17-py3-none-any.whl","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Import fast.ai"},{"metadata":{"trusted":true},"cell_type":"code","source":"from fastai2.basics import *\nfrom fastai2.callback.all import *\nfrom fastai2.vision.all import *","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Load Dependencies"},{"metadata":{"trusted":true},"cell_type":"code","source":"import os\nimport cv2\nimport PIL\nfrom PIL import Image as Img\nfrom PIL import ImageTk\nimport random\nimport openslide\nimport skimage.io\nimport skimage.color\nfrom skimage.color import rgb2hsv\nimport matplotlib\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nfrom IPython.display import Image, display","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Set Random Seed"},{"metadata":{},"cell_type":"markdown","source":"Setting a random seed makes sure that all randomly picked sequences are in the same order.  It is important to keep the same number everytime to keep the same sequence everytime."},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"np.random.seed(2)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Import the Training Dataframe"},{"metadata":{},"cell_type":"markdown","source":"Import the four .csv file from the prostate train dataset directory. This will be the training dataframe for this part of the process."},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df1 = pd.read_csv('../input/prostate-train-dataset/train_df1.csv', index_col=False)\n\ntrain_df2 = pd.read_csv('../input/prostate-train-dataset/train_df2.csv', index_col=False)\n\ntrain_df3 = pd.read_csv('../input/prostate-train-dataset/train_df3.csv', index_col=False)\n\ndata_dir = '../input/prostate-cancer-grade-assessment/train_images/'","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Append the four dataframes and get rid of the 'Unnamed:0' column."},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = train_df1.append(train_df2, ignore_index=True)\ntrain_df = train_df.append(train_df3, ignore_index=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = train_df.drop(columns=['Unnamed: 0'])","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Get a preview of the dataframe."},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df.head ()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The next step is to create two lists for training. Do not create a list longer than 4000 items long because a list longer than 4000 items may result in an error. In this notebook, a list length of 4000 will be used. This is the normal length."},{"metadata":{"trusted":true},"cell_type":"code","source":"train_df = train_df[0:4000]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"image = list(train_df['image_id'])\nlabels = list(train_df['isup_grade'])","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Functions"},{"metadata":{},"cell_type":"markdown","source":"The enhance_image function removes the gray portion from around the prostate biopsy (Zenify)."},{"metadata":{"trusted":true},"cell_type":"code","source":"def enhance_image(slide_path, contrast=1, brightness=15):\n    image = skimage.io.MultiImage(slide_path)[-2]\n    image = np.array(image)\n    img_enhanced = cv2.addWeighted(image, contrast, image, 0, brightness)\n    return img_enhanced","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The function compute_statistics calculates the portion of white pixels in the region (PAB97)."},{"metadata":{"trusted":true},"cell_type":"code","source":"def compute_statistics(image):\n\n    width, height = image.shape[0], image.shape[1]\n    num_pixels = width * height\n    \n    num_white_pixels = 0\n    \n    summed_matrix = np.sum(image, axis=-1)\n    # Note: A 3-channel white pixel has RGB (255, 255, 255)\n    num_white_pixels = np.count_nonzero(summed_matrix > 620)\n    ratio_white_pixels = num_white_pixels / num_pixels\n    \n    green_concentration = np.mean(image[1])\n    blue_concentration = np.mean(image[2])\n    \n    return ratio_white_pixels, green_concentration, blue_concentration\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The functions select_k_best_regions and get_k_best_regions list and select the lowest porportion of white pixels in a particular region (PAB97)."},{"metadata":{"trusted":true},"cell_type":"code","source":"def select_k_best_regions(regions, k=20):\n\n    regions = [x for x in regions if x[3] > 180 and x[4] > 180]\n    k_best_regions = sorted(regions, key=lambda tup: tup[2])[:k]\n    return k_best_regions","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_k_best_regions(coordinates, image, window_size=512):\n    regions = {}\n    for i, tup in enumerate(coordinates):\n        x, y = tup[0], tup[1]\n        regions[i] = image[x : x+window_size, y : y+window_size, :]\n    \n    return regions","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The function generate_patches slides over the region to calculate the white pixels then calculates the statistics and then selects the region with the least amount of pixels (PAB97)."},{"metadata":{"trusted":true},"cell_type":"code","source":"def generate_patches(image, window_size=200, stride=128, k=20):\n        \n    max_width, max_height = image.shape[0], image.shape[1]\n    regions_container = []\n    i = 0\n    \n    while window_size + stride*i <= max_height:\n        j = 0\n        \n        while window_size + stride*j <= max_width:            \n            x_top_left_pixel = j * stride\n            y_top_left_pixel = i * stride\n            \n            patch = image[\n                x_top_left_pixel : x_top_left_pixel + window_size,\n                y_top_left_pixel : y_top_left_pixel + window_size,\n                :\n            ]\n            \n            ratio_white_pixels, green_concentration, blue_concentration = compute_statistics(patch)\n            \n            region_tuple = (x_top_left_pixel, y_top_left_pixel, ratio_white_pixels, green_concentration, blue_concentration)\n            regions_container.append(region_tuple)\n            \n            j += 1\n        \n        i += 1\n    \n    k_best_region_coordinates = select_k_best_regions(regions_container, k=k)\n    k_best_regions = get_k_best_regions(k_best_region_coordinates, image, window_size)\n    \n    return image, k_best_region_coordinates, k_best_regions","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The function glue_to_one_picture glues the 16 patches into one 4X4 image (PAB97)."},{"metadata":{"trusted":true},"cell_type":"code","source":"def glue_to_one_picture(image_patches, window_size=200, k=16):\n    side = int(np.sqrt(k))\n    image = np.zeros((side*window_size, side*window_size, 3), dtype=np.int16)\n        \n    for i, patch in image_patches.items():\n        x = i // side\n        y = i % side\n        image[\n            x * window_size : (x+1) * window_size,\n            y * window_size : (y+1) * window_size,\n            :\n        ] = patch\n    \n    return image","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"WINDOW_SIZE = 128\nSTRIDE = 64\nK = 16","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The get_i function takes the original image of the biopsy and prepares the image for training."},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_i(image):\n    for i, img in enumerate(image):\n        url = data_dir + img + '.tiff'\n        enhanced_image = enhance_image (url)\n        image, best_coordinates, best_regions = generate_patches(enhanced_image, window_size=WINDOW_SIZE, stride=STRIDE, k=K)\n        glued_image = glue_to_one_picture(best_regions, window_size=WINDOW_SIZE, k=K)\n        glued_image = np.uint8(glued_image)\n        return tensor(glued_image)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Preparing for Training"},{"metadata":{},"cell_type":"markdown","source":"This part of the code prepares the images for training.  The images are properly labeled.  A batch of images are shown to make sure everything is working properly."},{"metadata":{"trusted":true},"cell_type":"code","source":"blocks = (\n          ImageBlock,\n          CategoryBlock\n          )    \ngetters = [\n           get_i,\n           ColReader('isup_grade')\n          ]\ntrends = DataBlock(blocks=blocks,\n              splitter=RandomSplitter(),\n              getters=getters,\n              item_tfms=Resize(512),\n              )","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dls = trends.dataloaders(train_df, bs=16)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dls.show_batch()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Checkpoints Directory"},{"metadata":{},"cell_type":"markdown","source":"This creates a checkpoint directory for ResNet34 and copies the model to the directory."},{"metadata":{"trusted":true},"cell_type":"code","source":"Path('/root/.cache/torch/checkpoints/').mkdir(exist_ok=True, parents=True)\n!cp '../input/resnet34/resnet34.pth' '/root/.cache/torch/checkpoints/resnet34-333f7ec4.pth'","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Train the Model using ResNet34 and fast.ai"},{"metadata":{"trusted":true},"cell_type":"code","source":"learn = cnn_learner(dls, resnet34, metrics=error_rate)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"torch.cuda.is_available()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"learn.unfreeze()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"learn.fit_one_cycle(3)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Create .pkl File"},{"metadata":{"trusted":true},"cell_type":"code","source":"learn.export ('test.pkl')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Works Cited"},{"metadata":{},"cell_type":"markdown","source":"PAB97. “Better image tiles - Removing white spaces.” Kaggle, 22 May 2020, www.kaggle.com/rftexas/better-image-tiles-removing-white-spaces.\n\n“Prostate CANcer GraDe Assessment (PANDA) Challenge.” Kaggle, www.kaggle.com/c/prostate-cancer-grade-assessment/overview/description.\n\nrmicrobe. “Creating Training Dataset.” Kaggle, 3 March 2021, www.kaggle.com/rmicrobe/creating-training-dataset.\n\nrmicrobe. “Microanatomy of the Prostate.” Kaggle, 11 June 2020, www.kaggle.com/rmicrobe/microanatomy-of-the-prostate.\n\nZenify. “Let's Enhance the Images!” Kaggle, 03 May 2020, www.kaggle.com/debanga/let-s-enhance-the-images."}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}