{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# 1. Overview","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}},{"cell_type":"markdown","source":"## What's Task? : Image Classification\nYour challenge in this competition is to classify the type of ovarian cancer from microscopy scans of biopsy samples.<br>\nThe target class is ovarian cancer: **CC, EC, HGSC, LGSC, MC, Other**.","metadata":{}},{"cell_type":"markdown","source":"## What's motivation?\nYour work will help enhance the applicability and accessibility of accurate ovarian cancer diagnoses.<br>\nSubtype-specific treatment approaches are gaining prominence, though first requires subtype identification, a process that could be improved with data science.","metadata":{}},{"cell_type":"markdown","source":"## Evaluation: Balanced Accuracy\nBalanced Accuracy is an indicator that evaluates the imbalance between the number of positive and negative cases.<br>\n$$\nBalanced Accuracy = \\frac{1}{2}\\left(\\frac{TP}{P}+\\frac{TN}{N}\\right)\n$$\n- $P$: The number of real positive cases in the data.<br>\n- $N$: The number of real negative cases in the data.<br>\n- $TP(\\rm{True Positive})$: A test result that correctly indicates the presence of a condition or characteristic.<br>\n- $TN(\\rm{True Negative})$: A test result that correctly indicates the absence of a condition or characteristic.<br>\n\nIt can be interpreted as the probability that the predicted result will be correct ($TP$ or $TN$) if the true value is positive or negative with a probability of 0.5 each.","metadata":{}},{"cell_type":"markdown","source":"# 2. Data","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom skimage import io\nfrom PIL import Image\nImage.MAX_IMAGE_PIXELS = None","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:19.723462Z","iopub.execute_input":"2023-10-07T14:53:19.723784Z","iopub.status.idle":"2023-10-07T14:53:20.948826Z","shell.execute_reply.started":"2023-10-07T14:53:19.723757Z","shell.execute_reply":"2023-10-07T14:53:20.947769Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train = pd.read_csv('/kaggle/input/UBC-OCEAN/train.csv')","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:23.548632Z","iopub.execute_input":"2023-10-07T14:53:23.54979Z","iopub.status.idle":"2023-10-07T14:53:23.569784Z","shell.execute_reply.started":"2023-10-07T14:53:23.54974Z","shell.execute_reply":"2023-10-07T14:53:23.56841Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.info()","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:27.702465Z","iopub.execute_input":"2023-10-07T14:53:27.702943Z","iopub.status.idle":"2023-10-07T14:53:27.743327Z","shell.execute_reply.started":"2023-10-07T14:53:27.702904Z","shell.execute_reply":"2023-10-07T14:53:27.742001Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.sample(10)","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:32.510238Z","iopub.execute_input":"2023-10-07T14:53:32.510699Z","iopub.status.idle":"2023-10-07T14:53:32.534926Z","shell.execute_reply.started":"2023-10-07T14:53:32.510663Z","shell.execute_reply":"2023-10-07T14:53:32.534278Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.describe()","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:37.375129Z","iopub.execute_input":"2023-10-07T14:53:37.375593Z","iopub.status.idle":"2023-10-07T14:53:37.402651Z","shell.execute_reply.started":"2023-10-07T14:53:37.375556Z","shell.execute_reply":"2023-10-07T14:53:37.400718Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_train.describe(exclude=\"int\")","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:41.757908Z","iopub.execute_input":"2023-10-07T14:53:41.758296Z","iopub.status.idle":"2023-10-07T14:53:41.774021Z","shell.execute_reply.started":"2023-10-07T14:53:41.758269Z","shell.execute_reply":"2023-10-07T14:53:41.773148Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Target Label\nLabels to classify are subtypes of ovarian cancer.","metadata":{}},{"cell_type":"code","source":"sns.countplot(y=\"label\", hue=\"is_tma\",data=df_train)","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:53:53.750187Z","iopub.execute_input":"2023-10-07T14:53:53.750616Z","iopub.status.idle":"2023-10-07T14:53:53.97802Z","shell.execute_reply.started":"2023-10-07T14:53:53.750583Z","shell.execute_reply":"2023-10-07T14:53:53.976403Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- **HGSC** : High-Grade Serous Carcinoma<br>\nHigh-grade serous carcinoma is the most common type of ovarian cancer, accounting for approximately 75% of epithelial ovarian cancers. Although the patient is highly sensitive to anticancer drugs, the frequency of recurrence is high and the prognosis is poor.\n- **CC** : Clear-cell ovarian Carcinoma<br>\nThis is a type of ovarian cancer that is characterized by clear or pale cells under a microscope. In addition, although it is a rare histological type in Europe and the U.S., it is more frequent in Japan, and study is underway.\n- **EC** : Endometrioid Carcinoma<br>\nIt is thought to progress from myxoid adenoma to carcinoma via borderline malignancy. The tumors are often unilateral and form large multifocal cysts with a diameter of more than 10 cm. There are few advanced cases, but the tumors are insensitive to anticancer drugs.\n- **LGSC** : Low-Grade Serous Carcinoma<br>\nLow-grade serous carcinoma is a less aggressive subtype of ovarian cancer. Bilateral tumors are common, and advanced tumors are not uncommon. The prognosis is good when localized to the ovary, but the disease is not sensitive to anticancer drugs, and disease-free survival and overall survival are lower when the residual tumor diameter is greater than 1 cm compared with other types of cancer.\n- **MC** : Mucinous Carcinoma<br>\nMost endometrial carcinomas are of low atypicality, and advanced cases are rare. Although endometriosis is often the primary site of origin, some carcinomas may evolve from endometrial adenofibromas.\n\nOfficial References: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592352/","metadata":{}},{"cell_type":"markdown","source":"- CC has a poorer prognosis than serous carcinoma.\n\n**Overall Survival Rate by Histological Type in Stage III Epithelial Ovarian Cancer**\n![a.png](attachment:e7bea003-b74e-4640-9d33-c2c9151bd3e8.png)\n\nWilliam E et al. J Clin Oncol. 2007\nhttps://pubmed.ncbi.nlm.nih.gov/17704411/","metadata":{},"attachments":{"e7bea003-b74e-4640-9d33-c2c9151bd3e8.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"## TMA / WSI","metadata":{}},{"cell_type":"markdown","source":"- **WSI(not TMA)** : Whole Slide Images<br>\nWhole slide images are at 20x magnification and can be quite large.<br>\n- **TMA** : Tissue Microarray<br>\nThe TMAs are smaller (roughly 4,000x4,000 pixels) but at 40x magnification.<br>\n\nThere are only 25 TMAs in the train set, **but the majority of the 2,000 pieces of test set are TMAs**.","metadata":{}},{"cell_type":"markdown","source":"## All TMA train images","metadata":{}},{"cell_type":"code","source":"for label in ['HGSC', 'CC', 'EC', 'LGSC', 'MC']:\n    df_tmp = df_train[df_train['label']==label]\n    image_id_list = list(df_tmp[df_tmp['is_tma']]['image_id'])#+list(df_tmp[~df_tmp['is_tma']].sample(1)['image_id'])\n    plt.figure(figsize=(20.0, 6.0))\n    for i in range(len(image_id_list)):\n        image_id = image_id_list[i]\n        plt.subplot(1, 5, i+1)\n        if i == 0:\n            plt.title(f'image_id:{image_id} (TMA)', fontsize=14)\n            plt.ylabel(label, fontsize=14)\n        else:\n            plt.title(f'image_id:{image_id} (TMA)', fontsize=14)\n        io.imshow(f'/kaggle/input/UBC-OCEAN/train_images/{image_id}.png')\n        plt.tick_params(labelbottom=False, labelleft=False, labelright=False, labeltop=False, bottom=False, left=False, right=False, top=False)\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:54:36.303436Z","iopub.execute_input":"2023-10-07T14:54:36.303743Z","iopub.status.idle":"2023-10-07T14:55:09.674992Z","shell.execute_reply.started":"2023-10-07T14:54:36.303718Z","shell.execute_reply":"2023-10-07T14:55:09.673851Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Sampling WSI train images (thumbnails)\nThumbnails is smaller .png copies of the whole slide images. Thumbnails are not provided for TMAs.","metadata":{}},{"cell_type":"code","source":"for label in ['HGSC', 'CC', 'EC', 'LGSC', 'MC']:\n    df_tmp = df_train[df_train['label']==label]\n    image_id_list = list(df_tmp[~df_tmp['is_tma']]['image_id'].sample(5))\n    plt.figure(figsize=(20.0, 6.0))\n    for i in range(len(image_id_list)):\n        image_id = image_id_list[i]\n        plt.subplot(1, 5, i+1)\n        if i == 0:\n            plt.title(f'image_id:{image_id} (WSI)', fontsize=14)\n            plt.ylabel(label, fontsize=14)\n        else:\n            plt.title(f'image_id:{image_id} (WSI)', fontsize=14)\n            \n        io.imshow(f'/kaggle/input/UBC-OCEAN/train_thumbnails/{image_id}_thumbnail.png')\n        plt.tick_params(labelbottom=False, labelleft=False, labelright=False, labeltop=False, bottom=False, left=False, right=False, top=False)\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:55:09.67642Z","iopub.execute_input":"2023-10-07T14:55:09.676642Z","iopub.status.idle":"2023-10-07T14:55:28.825143Z","shell.execute_reply.started":"2023-10-07T14:55:09.676624Z","shell.execute_reply":"2023-10-07T14:55:28.824464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Test Data","metadata":{}},{"cell_type":"code","source":"df_test = pd.read_csv('/kaggle/input/UBC-OCEAN/test.csv')\ndf_test","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:55:28.826582Z","iopub.execute_input":"2023-10-07T14:55:28.827269Z","iopub.status.idle":"2023-10-07T14:55:28.840118Z","shell.execute_reply.started":"2023-10-07T14:55:28.827243Z","shell.execute_reply":"2023-10-07T14:55:28.839308Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"io.imshow(f'/kaggle/input/UBC-OCEAN/test_thumbnails/41_thumbnail.png')","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:55:34.877168Z","iopub.execute_input":"2023-10-07T14:55:34.877484Z","iopub.status.idle":"2023-10-07T14:55:35.717792Z","shell.execute_reply.started":"2023-10-07T14:55:34.877464Z","shell.execute_reply":"2023-10-07T14:55:35.716729Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- only one piece of WSI available to the public.\n- The test set contains images from different source hospitals than the train set, with the largest area images almost 100,000 x 50,000 pixels.\n- Expect roughly 2,000 images in the test set, the majority of which are TMAs.\n- If it cannot be classified under any label, it must be classified as Other. The Other data is not present in the training set.","metadata":{}},{"cell_type":"markdown","source":"# 3. Sample Submission\nThe above visualization is disturbing and the submission fails.","metadata":{}},{"cell_type":"code","source":"df_submission = pd.read_csv('/kaggle/input/UBC-OCEAN/sample_submission.csv')\ndf_submission","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:55:55.958858Z","iopub.execute_input":"2023-10-07T14:55:55.95943Z","iopub.status.idle":"2023-10-07T14:55:55.976887Z","shell.execute_reply.started":"2023-10-07T14:55:55.959401Z","shell.execute_reply":"2023-10-07T14:55:55.976073Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_submission.to_csv('submission.csv', index = False)","metadata":{"execution":{"iopub.status.busy":"2023-10-07T14:56:00.334143Z","iopub.execute_input":"2023-10-07T14:56:00.33477Z","iopub.status.idle":"2023-10-07T14:56:00.346846Z","shell.execute_reply.started":"2023-10-07T14:56:00.334732Z","shell.execute_reply":"2023-10-07T14:56:00.344354Z"},"trusted":true},"execution_count":null,"outputs":[]}]}