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"}}},{"cell_type":"markdown","source":"# **Brain Tumor Radiogenomic Classification**\n\n* A malignant tumor in the brain is a life-threatening condition which is known as glioblastoma, it's both the most common form of brain cancer in adults and the one with the worst prognosis, with median survival being less than a year.\n* Glioblastoma is a life-threatning brain tumor which is caused by the presence of a specific genetic sequence in the tumor known as MGMT promoter methylation.\n* In today's world ,genetic analysis of cancer requires surgery to extract a tissue sample and it can take several weeks to determine the genetic characterization of the tumor.\n* Depending upon the results and type of initial therapy chosen, a subsequent surgery may be necessary. ","metadata":{}},{"cell_type":"markdown","source":"# **Objective**\n\n* To develope an accurate method in  predicting the genetics of the cancer through imaging which will help in reducing the sugeries required to perform an biopsy to determine if there is a tumor or not. ","metadata":{}},{"cell_type":"markdown","source":"# **MRI and Scan Types**\n\n* Magnetic resonance imaging (MRI) is one of the most commonly used tests in neurology and neurosurgery. \n* MRI provides exquisite detail of brain, spinal cord and vascular anatomy, and has the advantage of being able to visualize anatomy in all three planes: axial, sagittal and coronal.\n* T1, T2 and FLAIR are different MRI Imaging","metadata":{}},{"cell_type":"markdown","source":"# **Different types of Scan**\n![kaggle1.png.png](attachment:43d1d73d-b530-4356-ab7d-8482ac53bf5d.png)","metadata":{},"attachments":{"43d1d73d-b530-4356-ab7d-8482ac53bf5d.png":{"image/png":"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"}}},{"cell_type":"code","source":"# #for dicom files\n# !pip install -q pydicom","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#importing the necessary libraries\nimport os\nimport re \nimport glob\nimport numpy as np\nimport pandas as pd\nfrom PIL import Image\nimport seaborn as sns\nfrom tqdm import tqdm\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\n# Pydicom related imports\nimport pydicom\nfrom pydicom.pixel_data_handlers.util import apply_voi_lut\nimport tensorflow as tf\n# W&B for experiment tracking\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:24:16.075700Z","iopub.execute_input":"2021-08-07T11:24:16.076159Z","iopub.status.idle":"2021-08-07T11:24:49.440895Z","shell.execute_reply.started":"2021-08-07T11:24:16.076054Z","shell.execute_reply":"2021-08-07T11:24:49.439697Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# import wandb\n# wandb.login()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:45:43.409457Z","iopub.execute_input":"2021-08-07T11:45:43.409878Z","iopub.status.idle":"2021-08-07T11:45:43.426451Z","shell.execute_reply.started":"2021-08-07T11:45:43.409847Z","shell.execute_reply":"2021-08-07T11:45:43.424974Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#reading the data\ntrain_data = pd.read_csv('../input/rsna-miccai-brain-tumor-radiogenomic-classification/train_labels.csv')\nprint('Number of records: ', len(train_data))\ntrain_data.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:24:55.259058Z","iopub.execute_input":"2021-08-07T11:24:55.259480Z","iopub.status.idle":"2021-08-07T11:24:55.286491Z","shell.execute_reply.started":"2021-08-07T11:24:55.259442Z","shell.execute_reply":"2021-08-07T11:24:55.285082Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Training data Information**\n\n* There are 585 patients and each patient is identified by unique id,BraTS21ID.\n* Each patient consists of four structural multi-parametric MRI (mpMRI) scans.They are:\n    * Fluid Attenuated Inversion Recovery (FLAIR)\n    * T1-weighted pre-contrast (T1w)\n    * T1-weighted post-contrast (T1Gd)\n    * T2-weighted (T2)\n* Each sub-folder contains multiple scans in Dicom format with name - Image-X.dcm where X increases from 1 to N. \n* MGMT_value 1 corresponds to the presence of MGMT promoter and 0 corresponds to absence.","metadata":{}},{"cell_type":"code","source":"#checking the distribution of the class\nplt.figure(figsize=(5, 5))\nax = sns.countplot(\"MGMT_value\",data=train_data)\nax.set_title(\"Distribution of class Labels\");\nprint(train_data.MGMT_value.value_counts())","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:25:00.479036Z","iopub.execute_input":"2021-08-07T11:25:00.479461Z","iopub.status.idle":"2021-08-07T11:25:00.685626Z","shell.execute_reply.started":"2021-08-07T11:25:00.479429Z","shell.execute_reply":"2021-08-07T11:25:00.684263Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n\n* The dataset is not entirely balanced.","metadata":{}},{"cell_type":"markdown","source":"# **Checking total number of files (.dcm)**","metadata":{}},{"cell_type":"code","source":"#checking total number of .dcm files\nfilenames = glob.glob('../input/rsna-miccai-brain-tumor-radiogenomic-classification/train/*/*/*')\nprint(f'Total number of files: {len(filenames)}')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:25:05.700199Z","iopub.execute_input":"2021-08-07T11:25:05.700635Z","iopub.status.idle":"2021-08-07T11:25:59.724417Z","shell.execute_reply.started":"2021-08-07T11:25:05.700603Z","shell.execute_reply":"2021-08-07T11:25:59.723267Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n\n* There are 348641 dcm files","metadata":{}},{"cell_type":"markdown","source":"# **Checking the distribution of files based on scan types**","metadata":{}},{"cell_type":"code","source":"scan_label_dist = {\n    'FLAIR': [],\n    'T1w': [],\n    'T1wCE': [],\n    'T2w': []\n}\n\nfor filename in tqdm(filenames):\n    scan = filename.split('/')[-2]\n    if scan=='FLAIR':\n        scan_label_dist['FLAIR'].append(filename)\n    elif scan=='T1w':\n        scan_label_dist['T1w'].append(filename)\n    elif scan=='T1wCE':\n        scan_label_dist['T1wCE'].append(filename)\n    else:\n        scan_label_dist['T2w'].append(filename)\n        \nprint(\"Number of files per scan:\")\nprint(\"<<<<<<<<<<<<<<<<<<>>>>>>>>>>>>>\")\nprint(\"\\n\")\nprint('Size of FLAIR scan: {}, T1w scan: {}, T1wCE scan: {}, T2w scan: {}'.format(len(scan_label_dist['FLAIR']), \n                                                                                  len(scan_label_dist['T1w']),\n                                                                                  len(scan_label_dist['T1wCE']),\n                                                                                  len(scan_label_dist['T2w'])))","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:08.068944Z","iopub.execute_input":"2021-08-07T11:26:08.069430Z","iopub.status.idle":"2021-08-07T11:26:08.575432Z","shell.execute_reply.started":"2021-08-07T11:26:08.069382Z","shell.execute_reply":"2021-08-07T11:26:08.573978Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n\n* There are 74248 FAIR scan\n* There are 77627 T1w scan\n* There are 96766 T1wCE scan\n* There are 100000 T2w scan\n","metadata":{}},{"cell_type":"code","source":"# CONFIG = {'IMG_SIZE': 224, \n#           'competition': 'rsna-miccai-brain', \n#           '_wandb_kernel': 'sakil786'}","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:14.763736Z","iopub.execute_input":"2021-08-07T11:26:14.764153Z","iopub.status.idle":"2021-08-07T11:26:14.769893Z","shell.execute_reply.started":"2021-08-07T11:26:14.764120Z","shell.execute_reply":"2021-08-07T11:26:14.768550Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# run = wandb.init(project='brain-tumor-viz', config=CONFIG)\n# data = [['FLAIR', 74248], ['T1w', 77627], ['T1wCE', 96766], ['T2w', 100000]]\n# table = wandb.Table(data=data, columns = [\"Scan Type\", \"Num Files\"])\n# wandb.log({\"my_bar_chart_id\" : wandb.plot.bar(table, \"Scan Type\", \"Num Files\",\n#                                title=\"Scan Types vs Number of Dicom files\")})\n# run.finish()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:17.643022Z","iopub.execute_input":"2021-08-07T11:26:17.643456Z","iopub.status.idle":"2021-08-07T11:26:33.582581Z","shell.execute_reply.started":"2021-08-07T11:26:17.643422Z","shell.execute_reply":"2021-08-07T11:26:33.580935Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Barchart for different types of Scan\n\n","metadata":{}},{"cell_type":"markdown","source":"![kaggle.png](attachment:9e927883-8b04-43a1-8572-269675ce32ae.png)","metadata":{},"attachments":{"9e927883-8b04-43a1-8572-269675ce32ae.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# **Reading DICOM File**","metadata":{}},{"cell_type":"code","source":"\ndef dicomFileTransformation(path, voi_lut = True, fix_monochrome = True):\n    dicom = pydicom.read_file(path)\n    if voi_lut:\n        data = apply_voi_lut(dicom.pixel_array, dicom)\n    else:\n        data = dicom.pixel_array\n    if fix_monochrome and dicom.PhotometricInterpretation == \"MONOCHROME1\":\n        data = np.amax(data) - data\n        \n    data = data - np.min(data)\n    data = data / np.max(data)\n    data = (data * 255).astype(np.uint8)\n        \n    return data","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:40.142539Z","iopub.execute_input":"2021-08-07T11:26:40.142907Z","iopub.status.idle":"2021-08-07T11:26:40.151373Z","shell.execute_reply.started":"2021-08-07T11:26:40.142871Z","shell.execute_reply":"2021-08-07T11:26:40.150006Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Note**\n* MONOCHROME1 indicates that the greyscale ranges from bright to dark with ascending pixel values\n*  MONOCHROME2 ranges from dark to bright with ascending pixel values.\n* The Value Of Interest(VOI) LUT transformation transforms the modality pixel values into pixel values which are meaningful for the user or the application. \n","metadata":{}},{"cell_type":"code","source":"data = dicomFileTransformation(filenames[16])\nprint('Shape of data: ', data.shape)\n\nplt.figure(figsize=(5, 5))\nplt.imshow(data, cmap='gray');","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:43.816328Z","iopub.execute_input":"2021-08-07T11:26:43.816696Z","iopub.status.idle":"2021-08-07T11:26:44.227154Z","shell.execute_reply.started":"2021-08-07T11:26:43.816665Z","shell.execute_reply":"2021-08-07T11:26:44.225875Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n\n* Each MRI image has a resolution of 512x512 pixels.","metadata":{}},{"cell_type":"code","source":"patient_ids = os.listdir('../input/rsna-miccai-brain-tumor-radiogenomic-classification/train')\nIDX = np.random.choice(len(patient_ids))\n\npatient_id = patient_ids[IDX]\nprint(f'Patient ID: {patient_id}')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:48.500921Z","iopub.execute_input":"2021-08-07T11:26:48.501384Z","iopub.status.idle":"2021-08-07T11:26:48.509420Z","shell.execute_reply.started":"2021-08-07T11:26:48.501350Z","shell.execute_reply":"2021-08-07T11:26:48.508011Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def sorted_nicely(l): \n    \"\"\" Sort the given iterable in the way that humans expect.\"\"\" \n    convert = lambda text: int(text) if text.isdigit() else text \n    alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', key) ] \n    return sorted(l, key = alphanum_key)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:52.211812Z","iopub.execute_input":"2021-08-07T11:26:52.212288Z","iopub.status.idle":"2021-08-07T11:26:52.220194Z","shell.execute_reply.started":"2021-08-07T11:26:52.212254Z","shell.execute_reply":"2021-08-07T11:26:52.218609Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# #checking the number of images per patient id\n# flair_data = []\n# flair_filenames = os.listdir(f'../input/rsna-miccai-brain-tumor-radiogenomic-classification/train/{patient_id}/FLAIR/')\n# flair_filenames = sorted_nicely(flair_filenames)\n# for filename in flair_filenames:\n#     flair_data.append(dicomFileTransformation(f'../input/rsna-miccai-brain-tumor-radiogenomic-classification/train/{patient_id}/FLAIR/{filename}'))\n    \n# print(f'Number of FLAIR images for the patient: {len(flair_data)}')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:56.189690Z","iopub.execute_input":"2021-08-07T11:26:56.190112Z","iopub.status.idle":"2021-08-07T11:26:56.682147Z","shell.execute_reply.started":"2021-08-07T11:26:56.190068Z","shell.execute_reply":"2021-08-07T11:26:56.681105Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# run = wandb.init(project='brain-tumor-viz', config=CONFIG)\n# wandb.log({f\"flair_{patient_id}\": [wandb.Image(image) for image in flair_data]})\n# run.finish()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:26:59.880841Z","iopub.execute_input":"2021-08-07T11:26:59.881242Z","iopub.status.idle":"2021-08-07T11:27:11.408380Z","shell.execute_reply.started":"2021-08-07T11:26:59.881208Z","shell.execute_reply":"2021-08-07T11:27:11.406757Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#copying the data\ntrain=train_data.copy()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:11.410761Z","iopub.execute_input":"2021-08-07T11:27:11.411276Z","iopub.status.idle":"2021-08-07T11:27:11.417014Z","shell.execute_reply.started":"2021-08-07T11:27:11.411222Z","shell.execute_reply":"2021-08-07T11:27:11.415687Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#adding imfolder in the dataframe\ntrain[\"imfolder\"] = ['{0:05d}'.format(s) for s in train[\"BraTS21ID\"]]\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:19.082365Z","iopub.execute_input":"2021-08-07T11:27:19.082754Z","iopub.status.idle":"2021-08-07T11:27:19.099975Z","shell.execute_reply.started":"2021-08-07T11:27:19.082722Z","shell.execute_reply":"2021-08-07T11:27:19.098288Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#adding the path in the dataframe\ntrain_path = \"../input/rsna-miccai-brain-tumor-radiogenomic-classification/train\"\n\ntrain[\"path\"] = [os.path.join(train_path,s) for s in train[\"imfolder\"]  ]\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:23.271316Z","iopub.execute_input":"2021-08-07T11:27:23.271703Z","iopub.status.idle":"2021-08-07T11:27:23.291346Z","shell.execute_reply.started":"2021-08-07T11:27:23.271672Z","shell.execute_reply":"2021-08-07T11:27:23.289842Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"scans_label = [\"FLAIR\",\"T1w\",\"T1wCE\",\"T2w\"]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:26.837383Z","iopub.execute_input":"2021-08-07T11:27:26.838343Z","iopub.status.idle":"2021-08-07T11:27:26.859630Z","shell.execute_reply.started":"2021-08-07T11:27:26.838291Z","shell.execute_reply":"2021-08-07T11:27:26.855690Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#counting the number of dcm files per patient\nfor scan in scans_label:\n    train[scan +\"_count\"] = [ len(os.listdir(os.path.join(train[\"path\"].iloc[s],scan))) for s in tqdm(range(len(train))) ]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:29.271486Z","iopub.execute_input":"2021-08-07T11:27:29.271842Z","iopub.status.idle":"2021-08-07T11:27:30.537552Z","shell.execute_reply.started":"2021-08-07T11:27:29.271810Z","shell.execute_reply":"2021-08-07T11:27:30.535819Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:34.832585Z","iopub.execute_input":"2021-08-07T11:27:34.832982Z","iopub.status.idle":"2021-08-07T11:27:34.849524Z","shell.execute_reply.started":"2021-08-07T11:27:34.832950Z","shell.execute_reply":"2021-08-07T11:27:34.847983Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.shape","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:37.486071Z","iopub.execute_input":"2021-08-07T11:27:37.486487Z","iopub.status.idle":"2021-08-07T11:27:37.493885Z","shell.execute_reply.started":"2021-08-07T11:27:37.486457Z","shell.execute_reply":"2021-08-07T11:27:37.492420Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#checking which patient has same files in all types of scans\nallsame_column = [train[\"FLAIR_count\"].iloc[s] ==   train[\"T1w_count\"].iloc[s] ==train[\"T1wCE_count\"].iloc[s] ==train[\"T2w_count\"].iloc[s] \n          for s in range(len(train))]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:40.929863Z","iopub.execute_input":"2021-08-07T11:27:40.930255Z","iopub.status.idle":"2021-08-07T11:27:40.961709Z","shell.execute_reply.started":"2021-08-07T11:27:40.930225Z","shell.execute_reply":"2021-08-07T11:27:40.960568Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train[\"allsame_column\"] = allsame_column\ntrain","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:44.474021Z","iopub.execute_input":"2021-08-07T11:27:44.474472Z","iopub.status.idle":"2021-08-07T11:27:44.504956Z","shell.execute_reply.started":"2021-08-07T11:27:44.474441Z","shell.execute_reply":"2021-08-07T11:27:44.503835Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train[\"allsame_column\"].sum()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:48.519611Z","iopub.execute_input":"2021-08-07T11:27:48.520002Z","iopub.status.idle":"2021-08-07T11:27:48.531865Z","shell.execute_reply.started":"2021-08-07T11:27:48.519969Z","shell.execute_reply":"2021-08-07T11:27:48.526963Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n\n* 63 patients have same number of dcm files in all scan","metadata":{}},{"cell_type":"code","source":"#checking the percentage of same dcm files\ntrain[\"allsame_column\"].sum()/len(train) * 100","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:52.494922Z","iopub.execute_input":"2021-08-07T11:27:52.495396Z","iopub.status.idle":"2021-08-07T11:27:52.503271Z","shell.execute_reply.started":"2021-08-07T11:27:52.495364Z","shell.execute_reply":"2021-08-07T11:27:52.501588Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#printing same dcm files\ntrain[train[\"allsame_column\"]]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:27:55.429406Z","iopub.execute_input":"2021-08-07T11:27:55.429785Z","iopub.status.idle":"2021-08-07T11:27:55.460189Z","shell.execute_reply.started":"2021-08-07T11:27:55.429753Z","shell.execute_reply":"2021-08-07T11:27:55.459135Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def makepath(row_ID,scan):\n    \"\"\" Function to keep all categories files in their respective path\"\"\" \n    temp_folder = train[\"path\"].iloc[row_ID]\n    temp_folder2 = os.path.join(temp_folder,scan)\n    temp_files = os.listdir(temp_folder2)\n    imagenum = [s.split(\"-\")[1] for s in temp_files]\n    imagenum = [s.split(\".\")[0] for s in imagenum]\n    temp_path = [os.path.join(temp_folder2,s) for s in temp_files]\n    tempdf = pd.DataFrame()\n    tempdf[\"image_num\"] = imagenum\n    tempdf[\"image_num\"] = tempdf[\"image_num\"].astype(\"int\")\n    tempdf[\"temp_path\"] = temp_path\n    tempdf = tempdf.sort_values(\"image_num\").reset_index(drop=True)\n    finpath = tempdf[\"temp_path\"]\n    return finpath","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:00.542805Z","iopub.execute_input":"2021-08-07T11:28:00.543270Z","iopub.status.idle":"2021-08-07T11:28:00.553523Z","shell.execute_reply.started":"2021-08-07T11:28:00.543240Z","shell.execute_reply":"2021-08-07T11:28:00.552127Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"scans_label = [\"FLAIR\",\"T1w\",\"T1wCE\",\"T2w\"]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:03.847268Z","iopub.execute_input":"2021-08-07T11:28:03.847635Z","iopub.status.idle":"2021-08-07T11:28:03.852841Z","shell.execute_reply.started":"2021-08-07T11:28:03.847602Z","shell.execute_reply":"2021-08-07T11:28:03.851294Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"row_id=64\n\nsampledf = pd.DataFrame()\nfor scan in scans_label:\n    sampledf[scan + \"_path\"] = makepath(row_id,scan)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:06.999536Z","iopub.execute_input":"2021-08-07T11:28:06.999908Z","iopub.status.idle":"2021-08-07T11:28:07.029313Z","shell.execute_reply.started":"2021-08-07T11:28:06.999874Z","shell.execute_reply":"2021-08-07T11:28:07.027988Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sampledf.head(3)\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:10.213580Z","iopub.execute_input":"2021-08-07T11:28:10.213981Z","iopub.status.idle":"2021-08-07T11:28:10.228587Z","shell.execute_reply.started":"2021-08-07T11:28:10.213947Z","shell.execute_reply":"2021-08-07T11:28:10.227094Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sampledf['FLAIR_path'].head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:13.115503Z","iopub.execute_input":"2021-08-07T11:28:13.115878Z","iopub.status.idle":"2021-08-07T11:28:13.124256Z","shell.execute_reply.started":"2021-08-07T11:28:13.115845Z","shell.execute_reply":"2021-08-07T11:28:13.122886Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def makeimg(path):\n    dataset = pydicom.filereader.dcmread(path)\n    img = dataset.pixel_array\n    return img","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:16.745649Z","iopub.execute_input":"2021-08-07T11:28:16.746097Z","iopub.status.idle":"2021-08-07T11:28:16.752317Z","shell.execute_reply.started":"2021-08-07T11:28:16.746024Z","shell.execute_reply":"2021-08-07T11:28:16.750534Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(\"MGMT_value = \" + str(train[\"MGMT_value\"].iloc[row_id]))\n\n#showing the scans for patient_id=100 and row_id=64 ,whose MGMT_value=1\nfor row in range(len(sampledf)):\n    plt.figure(figsize=(80,10))\n    for num,scan in enumerate(scans_label):\n        img = makeimg(sampledf[scan + \"_path\"].iloc[row])\n        plt.subplot(4,25,num+1)\n        #plt.axis(\"off\")\n        plt.imshow(img)\n        \n        if row==0:\n            plt.title(scan,fontsize=18)\n        if num==0:\n            plt.ylabel(\"row=\" + str(row),fontsize=18)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:21.280623Z","iopub.execute_input":"2021-08-07T11:28:21.281563Z","iopub.status.idle":"2021-08-07T11:28:34.670403Z","shell.execute_reply.started":"2021-08-07T11:28:21.281515Z","shell.execute_reply":"2021-08-07T11:28:34.668926Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n* There are 22 dcm files for the patient_id 100 whose MGMT_value=1","metadata":{}},{"cell_type":"code","source":"row_id = 65\n\nsampledf = pd.DataFrame()\nfor scan in scans_label:\n    sampledf[scan + \"_path\"] = makepath(row_id,scan)\n#showing the scans for patient_id=100 and row_id=65 ,whose MGMT_value=0\nprint(\"MGMT_value = \" + str(train[\"MGMT_value\"].iloc[row_id]))\n\nfor row in range(len(sampledf)):\n    plt.figure(figsize=(80,10))\n    for num,scan in enumerate(scans_label):\n        img = makeimg(sampledf[scan + \"_path\"].iloc[row])\n        plt.subplot(4,25,num+1)\n        #plt.axis(\"off\")\n        plt.imshow(img)\n        \n        if row==0:\n            plt.title(scan,fontsize=18)\n        if num==0:\n            plt.ylabel(\"row=\" + str(row),fontsize=18)\n\n","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:28:41.803568Z","iopub.execute_input":"2021-08-07T11:28:41.803951Z","iopub.status.idle":"2021-08-07T11:28:56.230655Z","shell.execute_reply.started":"2021-08-07T11:28:41.803918Z","shell.execute_reply":"2021-08-07T11:28:56.229458Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Analysis**\n* There are 23 dcm files for the patient_id 102 whose MGMT_value=0","metadata":{}},{"cell_type":"markdown","source":"# **Model Training**","metadata":{}},{"cell_type":"code","source":"import os\nimport glob\nfrom tqdm import tqdm_notebook as tqdm\nimport random\nimport torch\nimport torch.nn as nn\nfrom torch.utils.data import Dataset, DataLoader\nimport torch.nn.functional as F\nfrom torchvision import transforms, utils\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib\nimport pydicom\nfrom pydicom.pixel_data_handlers.util import apply_voi_lut\nimport cv2\nimport imgaug as ia\nimport imgaug.augmenters as iaa\nfrom sklearn.metrics import roc_auc_score\n\nimport warnings\nwarnings.filterwarnings(\"ignore\")","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:04.108350Z","iopub.execute_input":"2021-08-07T11:29:04.108758Z","iopub.status.idle":"2021-08-07T11:29:04.979771Z","shell.execute_reply.started":"2021-08-07T11:29:04.108722Z","shell.execute_reply":"2021-08-07T11:29:04.978584Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import sys\nsys.path.append('../input/efficientnetpyttorch3d/EfficientNet-PyTorch-3D')\nsys.path.append('../input/efficientnet-pytorch')\nsys.path.append('../input/efficientnet/EfficientNet-PyTorch-master/')","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:10.252122Z","iopub.execute_input":"2021-08-07T11:29:10.252532Z","iopub.status.idle":"2021-08-07T11:29:10.258805Z","shell.execute_reply.started":"2021-08-07T11:29:10.252498Z","shell.execute_reply":"2021-08-07T11:29:10.256851Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"markdown","source":"# inspecting Labels","metadata":{}},{"cell_type":"code","source":"path = '/kaggle/input/rsna-miccai-brain-tumor-radiogenomic-classification'\ntrain_data = pd.read_csv(os.path.join(path, 'train_labels.csv'))\nprint('Num of train samples:', len(train_data))\ntrain_data.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:14.589847Z","iopub.execute_input":"2021-08-07T11:29:14.590231Z","iopub.status.idle":"2021-08-07T11:29:14.611695Z","shell.execute_reply.started":"2021-08-07T11:29:14.590197Z","shell.execute_reply":"2021-08-07T11:29:14.608793Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Augmentation","metadata":{}},{"cell_type":"code","source":"sometimes = lambda aug: iaa.Sometimes(0.1, aug)\n\nseq = iaa.Sequential(\n    [\n        # apply the following augmenters to most images\n        iaa.Fliplr(0.5), # horizontally flip 50% of all images\n        iaa.Flipud(0.5), # vertically flip 20% of all images\n        # crop images by -5% to 10% of their height/width\n        sometimes(iaa.CropAndPad(\n            percent=(-0.05, 0.05),\n            pad_mode=ia.ALL,\n            pad_cval=(0, 255)\n        )),\n        sometimes(iaa.Affine(\n            scale={\"x\": (0.8, 1.2), \"y\": (0.8, 1.2)}, # scale images to 80-120% of their size, individually per axis\n            translate_percent={\"x\": (-0.2, 0.2), \"y\": (-0.2, 0.2)}, # translate by -20 to +20 percent (per axis)\n            rotate=(-45, 45), # rotate by -45 to +45 degrees\n            shear=(-16, 16), # shear by -16 to +16 degrees\n            order=[0, 1], # use nearest neighbour or bilinear interpolation (fast)\n            cval=(0, 255), # if mode is constant, use a cval between 0 and 255\n            mode=ia.ALL # use any of scikit-image's warping modes (see 2nd image from the top for examples)\n        )),\n        # execute 0 to 5 of the following (less important) augmenters per image\n        # don't execute all of them, as that would often be way too strong\n        iaa.SomeOf((0, 5),\n            [\n                sometimes(iaa.Superpixels(p_replace=(0, 1.0), n_segments=(20, 200))), # convert images into their superpixel representation\n                iaa.OneOf([\n                    iaa.GaussianBlur((0, 3.0)), # blur images with a sigma between 0 and 3.0\n                    iaa.AverageBlur(k=(2, 7)), # blur image using local means with kernel sizes between 2 and 7\n                    iaa.MedianBlur(k=(3, 11)), # blur image using local medians with kernel sizes between 2 and 7\n                ]),\n                iaa.Sharpen(alpha=(0, 1.0), lightness=(0.75, 1.5)), # sharpen images\n                iaa.Emboss(alpha=(0, 1.0), strength=(0, 2.0)), # emboss images\n                # search either for all edges or for directed edges,\n                # blend the result with the original image using a blobby mask\n                iaa.SimplexNoiseAlpha(iaa.OneOf([\n                    iaa.EdgeDetect(alpha=(0.5, 1.0)),\n                    iaa.DirectedEdgeDetect(alpha=(0.5, 1.0), direction=(0.0, 1.0)),\n                ])),\n                iaa.AdditiveGaussianNoise(loc=0, scale=(0.0, 0.05*255), per_channel=0.5), # add gaussian noise to images\n                iaa.OneOf([\n                    iaa.Dropout((0.01, 0.1), per_channel=0.5), # randomly remove up to 10% of the pixels\n                    iaa.CoarseDropout((0.03, 0.15), size_percent=(0.02, 0.05), per_channel=0.2),\n                ]),\n                iaa.Invert(0.05, per_channel=True), # invert color channels\n                iaa.Add((-10, 10), per_channel=0.5), # change brightness of images (by -10 to 10 of original value)\n                \n                # either change the brightness of the whole image (sometimes\n                # per channel) or change the brightness of subareas\n                iaa.OneOf([\n                    iaa.Multiply((0.5, 1.5), per_channel=0.5),\n                    iaa.FrequencyNoiseAlpha(\n                        exponent=(-4, 0),\n                        first=iaa.Multiply((0.5, 1.5), per_channel=True),\n                        second=iaa.LinearContrast((0.5, 2.0))\n                    )\n                ]),\n                iaa.LinearContrast((0.5, 2.0), per_channel=0.5), # improve or worsen the contrast\n                sometimes(iaa.ElasticTransformation(alpha=(0.5, 3.5), sigma=0.25)), # move pixels locally around (with random strengths)\n                sometimes(iaa.PiecewiseAffine(scale=(0.01, 0.05))), # sometimes move parts of the image around\n                sometimes(iaa.PerspectiveTransform(scale=(0.01, 0.1)))\n            ],\n            random_order=True\n        )\n    ],\n    random_order=True\n)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:22.265214Z","iopub.execute_input":"2021-08-07T11:29:22.265665Z","iopub.status.idle":"2021-08-07T11:29:22.297660Z","shell.execute_reply.started":"2021-08-07T11:29:22.265632Z","shell.execute_reply":"2021-08-07T11:29:22.296407Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# MRI Slice Loading/Processing","metadata":{}},{"cell_type":"code","source":"def dicom2array(paths, voi_lut=True, fix_monochrome=True, remove_black_boundary=True, aug = False):\n    \n    for path in paths:\n        dicom = pydicom.read_file(path)\n        # VOI LUT (if available by DICOM device) is used to\n        # transform raw DICOM data to \"human-friendly\" view\n        if voi_lut:\n            data = apply_voi_lut(dicom.pixel_array, dicom)\n        else:\n            data = dicom.pixel_array\n        if data.max() > 0.0: # avoiding black images (if possible)\n            break\n    # depending on this value, X-ray may look inverted - fix that:\n    if fix_monochrome and dicom.PhotometricInterpretation == \"MONOCHROME1\":\n        data = np.amax(data) - data\n    data = data - np.min(data)\n    data = data / np.max(data)\n    data = (data * 255).astype(np.uint8)\n    if remove_black_boundary: # we get slightly more details\n        (x, y) = np.where(data > 0)\n        if len(x) > 0 and len(y) > 0:\n            x_mn = np.min(x)\n            x_mx = np.max(x)\n            y_mn = np.min(y)\n            y_mx = np.max(y)\n            if (x_mx - x_mn) > 10 and (y_mx - y_mn) > 10:\n                data = data[:,np.min(y):np.max(y)]\n    data = cv2.resize(data, (512, 512))\n    if aug and random.randint(0,1) == 1: # augmenting only 50% of the time\n        data = seq(images=data)\n    return data\n\n\ndef load_3d_dicom_images(scan_id, split = \"train\", channel_expand = True):\n    \"\"\"\n    we will use some heuristics to choose the slices to avoid any numpy zero matrix (if possible)\n    \"\"\"\n    flair = sorted(glob.glob(f\"{path}/{split}/{scan_id}/FLAIR/*.dcm\"))\n    t1w = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T1w/*.dcm\"))\n    t1wce = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T1wCE/*.dcm\"))\n    t2w = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T2w/*.dcm\"))\n    \n    \n    flair_img = np.array([dicom2array(a) for a in flair[len(flair)//2 - 32:len(flair)//2 + 32]]).T\n    \n    if len(flair_img) == 0:\n        flair_img = np.zeros((256, 256, 64))\n    elif flair_img.shape[-1] < 64:\n        n_zero = 64 - flair_img.shape[-1]\n        flair_img = np.concatenate((flair_img, np.zeros((256, 256, n_zero))), axis = -1)\n    #print(flair_img.shape)\n        \n    \n    \n    t1w_img = np.array([dicom2array(a) for a in t1w[len(t1w)//2 - 32:len(t1w)//2 + 32]]).T\n    \n    if len(t1w_img) == 0:\n        t1w_img = np.zeros((256, 256, 64))\n    elif t1w_img.shape[-1] < 64:\n        n_zero = 64 - t1w_img.shape[-1]\n        t1w_img = np.concatenate((t1w_img, np.zeros((256, 256, n_zero))), axis = -1)\n    #print(t1w_img.shape)\n    \n    \n    t1wce_img = np.array([dicom2array(a) for a in t1wce[len(t1wce)//2 - 32:len(t1wce)//2 + 32]]).T\n    \n    if len(t1wce_img) == 0:\n        t1wce_img = np.zeros((256, 256, 64))\n    elif t1wce_img.shape[-1] < 64:\n        n_zero = 64 - t1wce_img.shape[-1]\n        t1wce_img = np.concatenate((t1wce_img, np.zeros((256, 256, n_zero))), axis = -1)\n    #print(t1wce_img.shape)\n    \n    \n    t2w_img = np.array([dicom2array(a) for a in t2w[len(t2w)//2 - 32:len(t2w)//2 + 32]]).T\n    \n    if len(t2w_img) == 0:\n        t2w_img = np.zeros((256, 256, 64))\n    elif t2w_img.shape[-1] < 64:\n        n_zero = 64 - t2w_img.shape[-1]\n        t2w_img = np.concatenate((t2w_img, np.zeros((256, 256, n_zero))), axis = -1)\n    #print(t2w_img.shape)\n    \n    return np.concatenate((flair_img, t1w_img, t1wce_img, t2w_img), axis = -1) if not channel_expand else np.moveaxis(np.array((flair_img, t1w_img, t1wce_img, t2w_img)), 0, -1)\n\n\ndef load_rand_dicom_images(scan_id, split = \"train\", aug = False):\n    \"\"\"\n    send 4 random slices of each modality\n    \"\"\"\n    if split != \"train\" and split != \"test\":\n        split = \"train\"\n    flair = sorted(glob.glob(f\"{path}/{split}/{scan_id}/FLAIR/*.dcm\"))\n    flair_img = dicom2array(random.sample(flair, max(len(flair)//2, 1)), aug = aug)\n    t1w = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T1w/*.dcm\"))\n    t1w_img = dicom2array(random.sample(t1w, max(len(t1w)//2, 1)), aug = aug)\n    t1wce = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T1wCE/*.dcm\"))\n    t1wce_img = dicom2array(random.sample(t1wce, max(len(t1wce)//2, 1)), aug = aug)\n    t2w = sorted(glob.glob(f\"{path}/{split}/{scan_id}/T2w/*.dcm\"))\n    t2w_img = dicom2array(random.sample(t2w, max(len(t2w)//2, 1)), aug = aug)\n    \n    return np.array((flair_img, t1w_img, t1wce_img, t2w_img)).T","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:33.094266Z","iopub.execute_input":"2021-08-07T11:29:33.094648Z","iopub.status.idle":"2021-08-07T11:29:33.578034Z","shell.execute_reply.started":"2021-08-07T11:29:33.094615Z","shell.execute_reply":"2021-08-07T11:29:33.576670Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data Loader","metadata":{}},{"cell_type":"code","source":"# let's write a simple pytorch dataloader\n\nclass BrainTumor4C(Dataset): # 4 channel data-loader\n    def __init__(self, path = '/kaggle/input/rsna-miccai-brain-tumor-radiogenomic-classification', split = \"train\", validation_split = 0.2):\n        # labels\n        train_data = pd.read_csv(os.path.join(path, 'train_labels.csv'))\n        self.labels = {}\n        brats = list(train_data[\"BraTS21ID\"])\n        mgmt = list(train_data[\"MGMT_value\"])\n        for b, m in zip(brats, mgmt):\n            self.labels[str(b).zfill(5)] = m\n            \n        if split == \"valid\":\n            self.split = split\n            self.ids = [a.split(\"/\")[-1] for a in sorted(glob.glob(path + f\"/train/\" + \"/*\"))]\n            self.ids = self.ids[:int(len(self.ids)* validation_split)] # first 20% as validation\n        elif split == \"train\":\n            self.split = split\n            self.ids = [a.split(\"/\")[-1] for a in sorted(glob.glob(path + f\"/{split}/\" + \"/*\"))]\n            self.ids = self.ids[int(len(self.ids)* validation_split):] # last 80% as train\n        else:\n            self.split = split\n            self.ids = [a.split(\"/\")[-1] for a in sorted(glob.glob(path + f\"/{split}/\" + \"/*\"))]\n            \n    \n    def __len__(self):\n        return len(self.ids)\n    \n    def __getitem__(self, idx):\n        imgs = load_rand_dicom_images(self.ids[idx], self.split, aug = False)\n        \n        transform = transforms.Compose([transforms.ToTensor()]) # transforms.Normalize((0.5, 0.5, 0.5, 0.5), (0.5, 0.5, 0.5, 0.5))\n        imgs = transform(imgs)\n        \n        imgs = imgs - imgs.min()\n        imgs = (imgs + 1e-5) / (imgs.max() - imgs.min() + 1e-5)\n        \n        if self.split != \"test\":\n            label = self.labels[self.ids[idx]]\n            return torch.tensor(imgs, dtype = torch.float32), torch.tensor(label, dtype = torch.long)\n        else:\n            return torch.tensor(imgs, dtype = torch.float32), self.ids[idx]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:39.860619Z","iopub.execute_input":"2021-08-07T11:29:39.861066Z","iopub.status.idle":"2021-08-07T11:29:39.876725Z","shell.execute_reply.started":"2021-08-07T11:29:39.861012Z","shell.execute_reply":"2021-08-07T11:29:39.875516Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# testing the dataloader\ntest_dataset = BrainTumor4C(split = \"test\")\ntest_bs = 8\ntest_loader = DataLoader(test_dataset, batch_size = test_bs, shuffle=True)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:43.053255Z","iopub.execute_input":"2021-08-07T11:29:43.053628Z","iopub.status.idle":"2021-08-07T11:29:43.068793Z","shell.execute_reply.started":"2021-08-07T11:29:43.053597Z","shell.execute_reply":"2021-08-07T11:29:43.067631Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for img, idx in test_loader:\n    print(img.shape)\n    print(img.max())\n    print(img.mean())\n    print(img.min())\n    print(idx)\n    break","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:46.762863Z","iopub.execute_input":"2021-08-07T11:29:46.763405Z","iopub.status.idle":"2021-08-07T11:29:47.546233Z","shell.execute_reply.started":"2021-08-07T11:29:46.763371Z","shell.execute_reply":"2021-08-07T11:29:47.545147Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Model: EfficientNet-3D B0 / EfficientNet B1","metadata":{}},{"cell_type":"code","source":"MODEL = \"4C\" # [\"4C\", \"3D\", \"4C+3D\"]","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:51.250310Z","iopub.execute_input":"2021-08-07T11:29:51.250717Z","iopub.status.idle":"2021-08-07T11:29:51.258355Z","shell.execute_reply.started":"2021-08-07T11:29:51.250649Z","shell.execute_reply":"2021-08-07T11:29:51.257115Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# !mkdir rsna-efficientnet3db0","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"if MODEL == \"3D\":\n    PATH = \"../input/rsna-efficientnet3db0/best_roc_0.29_loss_1826.83.pt\"\n    model = EfficientNet3D.from_name(\"efficientnet-b0\", override_params={'num_classes': 2}, in_channels=4)\n    model.load_state_dict(torch.load(PATH))\n    model.eval()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:29:55.378233Z","iopub.execute_input":"2021-08-07T11:29:55.378657Z","iopub.status.idle":"2021-08-07T11:29:55.386295Z","shell.execute_reply.started":"2021-08-07T11:29:55.378626Z","shell.execute_reply":"2021-08-07T11:29:55.384715Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip install --upgrade efficientnet-pytorch\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# !mkdir effb14c1/best_roc_0.35_loss_39.450.pt","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PATH = \"best_roc_0.35_loss_39.450.pt\"\n# torch.save(model.state_dict(), PATH)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PATH=\"best_roc_0.35_loss_39.451.pt\"\n# torch.save(model.state_dict(), PATH)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# if MODEL == \"4C\":\n#     from efficientnet_pytorch import EfficientNet\n#     from efficientnet_pytorch.utils import Conv2dStaticSamePadding\n\n#     PATH = \"best_roc_0.35_loss_39.451.pt\"\n#     model = EfficientNet.from_name('efficientnet-b1')\n\n#     # augment model with 4 channels\n\n#     model._conv_stem = Conv2dStaticSamePadding(4, 32, kernel_size = (3,3), stride = (2,2), \n#                                                                  bias = False, image_size = 512)\n#     model._fc = torch.nn.Linear(in_features=1280, out_features=2, bias=True)\n    \n#     model.load_state_dict(torch.load(PATH))\n#     model.eval()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# PATH = \"effb14c1/best_roc_0.35_loss_39.451.pt\"\n# torch.save(model.state_dict(), PATH)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"if MODEL == \"4C\":\n    from efficientnet_pytorch import EfficientNet\n    from efficientnet_pytorch.utils import Conv2dStaticSamePadding\n\n    PATH = \"../input/effb14c1/best_roc_0.35_loss_39.45.pt\"\n    model = EfficientNet.from_name('efficientnet-b1')\n\n    # augment model with 4 channels\n\n    model._conv_stem = Conv2dStaticSamePadding(4, 32, kernel_size = (3,3), stride = (2,2), \n                                                                 bias = False, image_size = 512)\n    model._fc = torch.nn.Linear(in_features=1280, out_features=2, bias=True)\n    \n    model.load_state_dict(torch.load(PATH))\n    model.eval()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:30:11.869606Z","iopub.execute_input":"2021-08-07T11:30:11.869960Z","iopub.status.idle":"2021-08-07T11:30:16.154478Z","shell.execute_reply.started":"2021-08-07T11:30:11.869929Z","shell.execute_reply":"2021-08-07T11:30:16.153302Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# test\ngpu = torch.device(f\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\nmodel.to(gpu)\nn_bootstrap = 20\n\nif MODEL == \"4C\":\n    labels = {}\n\n    model.eval()\n    for i_b in range(n_bootstrap):\n        for i, data in tqdm(enumerate(test_loader, 0)):\n\n            x, idx = data\n\n            x = x.to(gpu)\n\n            # forward\n            outputs = model(x)\n\n            label = torch.argmax(outputs, dim = -1)\n\n            # print(idx)\n            # print(label)\n\n            label = label.tolist()\n            for i_, idx_ in enumerate(list(idx)):\n                labels[idx_] = labels.get(idx_, []) + [label[i_]]\n                \n            # break","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:30:27.288223Z","iopub.execute_input":"2021-08-07T11:30:27.288616Z","iopub.status.idle":"2021-08-07T11:34:30.191433Z","shell.execute_reply.started":"2021-08-07T11:30:27.288585Z","shell.execute_reply":"2021-08-07T11:34:30.190143Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import collections\nlabels_od = collections.OrderedDict(sorted(labels.items()))\nprint(labels_od)","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:34:40.989711Z","iopub.execute_input":"2021-08-07T11:34:40.990146Z","iopub.status.idle":"2021-08-07T11:34:40.996599Z","shell.execute_reply.started":"2021-08-07T11:34:40.990112Z","shell.execute_reply":"2021-08-07T11:34:40.995323Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"f_idxs = []\nf_labels = []\nfor idx in labels_od.keys():\n    f_idxs.append(int(idx))\n    f_labels.append(np.array(labels_od[idx], dtype = np.float32).mean())    ","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:34:47.215693Z","iopub.execute_input":"2021-08-07T11:34:47.216136Z","iopub.status.idle":"2021-08-07T11:34:47.227029Z","shell.execute_reply.started":"2021-08-07T11:34:47.216098Z","shell.execute_reply":"2021-08-07T11:34:47.223744Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission = pd.read_csv(\"../input/rsna-miccai-brain-tumor-radiogenomic-classification/sample_submission.csv\")\n\nfor i, row in submission.iterrows():\n    idx = int(row['BraTS21ID'])\n    try:\n        new_label = f_labels[f_idxs.index(idx)]\n        submission.loc[i, 'MGMT_value'] = float(new_label)\n    except:\n        pass","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:34:51.563822Z","iopub.execute_input":"2021-08-07T11:34:51.564217Z","iopub.status.idle":"2021-08-07T11:34:51.630542Z","shell.execute_reply.started":"2021-08-07T11:34:51.564183Z","shell.execute_reply":"2021-08-07T11:34:51.629279Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.head()","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:35:03.111559Z","iopub.execute_input":"2021-08-07T11:35:03.112019Z","iopub.status.idle":"2021-08-07T11:35:03.123933Z","shell.execute_reply.started":"2021-08-07T11:35:03.111970Z","shell.execute_reply":"2021-08-07T11:35:03.122566Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.to_csv(\"submission.csv\", index=False)\nsubmission","metadata":{"execution":{"iopub.status.busy":"2021-08-07T11:35:23.426500Z","iopub.execute_input":"2021-08-07T11:35:23.426880Z","iopub.status.idle":"2021-08-07T11:35:23.448082Z","shell.execute_reply.started":"2021-08-07T11:35:23.426846Z","shell.execute_reply":"2021-08-07T11:35:23.446638Z"},"trusted":true},"execution_count":null,"outputs":[]}]}