{"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":"The 2 images above, the first one is a dicom reading, the second one is one of the slice of segmentations (reference to segmentations is defined above in a code block)\n\nWhat was the problem again? Oh yeah, we don't have the sagittal view, and we don't know which image is referencing to which bone.. well, now we kinda do, how?\n\nThis segmentations numpy array which we have just created and visualized actually have one more use, the unique values of a particular slice will tell us which bone we are working on, for instance the image and segmentation slice mask we see above, let's find out which bone we are seeing in that.\n\nI will just write **np.unique(segmentations[199])** (199 in this case is the slice number, which means this image is 200.dcm)\n\nThe output of this small line is **array([0., 6.])**, where 0 is the background and 6 is the reference to which bone we are talking about, in this case, bone C6.\n\nAm I done? Oh no, we still have to understand the variables, which in this case is that there are more than 7 bones in the base (obviously), but we only have labels for C1-C7, but as seen in the image below it is seen that there are way more than that.\n\n![image.png](data:image/png;base64,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)\n\nSo, for some slices we will see unique values going beyond 7, values like 9 or 10, these refer to the bones in the image above, eg. unique value 8 refer to bone Th1\n\nBut, do we need these values to train models? No, not necessarily as our target is only (C1-C7)\n\nSo, lets analyse the current situation, we have 87 patients studies for segmentation, we will have to learn from these patients, which bone is presented in which image, BUT, why is knowing which image is which bone so important? Answering this question takes us to the last part of this discussion, which is, Submission.\n\nNow, normally, we don't have to talk about submission files, it is simple, but in this competition sample submission file does not tell us the correct submission format, and this format is the reason why we need to classify C1-C7 before training or rather, submitting.\n\nThe submission file will in the format where each patient will have 8 rows, and 8 predictions, 7 rows for C1-C7 and the last row for overall, overall refers to weather the patient have a fracture in any one of the vertibrates are fractured.","metadata":{"id":"GfksL6HGD0lK"}},{"cell_type":"markdown","source":"## pip Installation","metadata":{}},{"cell_type":"code","source":"INTERNET = True\n\nif INTERNET == True:\n    !python --version\n\n    !pip install pydicom\n    !pip install pylibjpeg\n    !pip install pylibjpeg-libjpeg\n    !pip install pylibjpeg pylibjpeg-libjpeg pylibjpeg-openjpeg","metadata":{"execution":{"iopub.status.busy":"2023-03-15T06:08:59.117466Z","iopub.execute_input":"2023-03-15T06:08:59.118146Z","iopub.status.idle":"2023-03-15T06:09:34.913588Z","shell.execute_reply.started":"2023-03-15T06:08:59.118114Z","shell.execute_reply":"2023-03-15T06:09:34.912333Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Imports","metadata":{}},{"cell_type":"code","source":"import os\nimport sys\nimport numpy as np\nimport pandas as pd\nfrom glob import glob\nfrom PIL import Image\nimport cv2\nimport re\nimport gc\nfrom tqdm import tqdm\nfrom pprint import pprint\nimport math\nimport random\n\nimport pydicom as dicom\nfrom pydicom.pixel_data_handlers.util import apply_voi_lut\nimport pylibjpeg\nimport nibabel as nib\n\nimport matplotlib.pyplot as plt\nfrom matplotlib.patches import Rectangle\n\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.model_selection import KFold, StratifiedKFold","metadata":{"id":"pcRIbsw3aGBu","execution":{"iopub.status.busy":"2023-03-15T06:09:34.921083Z","iopub.execute_input":"2023-03-15T06:09:34.921515Z","iopub.status.idle":"2023-03-15T06:09:35.761192Z","shell.execute_reply.started":"2023-03-15T06:09:34.921469Z","shell.execute_reply":"2023-03-15T06:09:35.760164Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Config","metadata":{}},{"cell_type":"code","source":"SEED = 1927550\nIMG_SIZE = 512\nBATCH = 6\nEPOCH = 30\nCLASS = 7\nWORK = 'kaggle'\nchannel_3 = True\nCLASS = 9 # background, C1, C2, C3, C4, C5, C6, C7, (T1-T12)\ntot_slice = 24\nmid_slice = random.randint(12, 13)\ntrain_no = 5","metadata":{"execution":{"iopub.status.busy":"2023-03-15T06:44:32.258956Z","iopub.execute_input":"2023-03-15T06:44:32.259315Z","iopub.status.idle":"2023-03-15T06:44:32.264655Z","shell.execute_reply.started":"2023-03-15T06:44:32.259288Z","shell.execute_reply":"2023-03-15T06:44:32.263849Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"if WORK == 'kaggle':\n    work_path = '/kaggle/input'\nelif WORK == 'colab':\n    work_path = '/content/drive/MyDrive/Colab_Notebooks'\nelif WORK == 'jupyter':\n    work_path = 'G:/내 드라이브/Colab_Notebooks'\n\nif channel_3:\n    base_path = f'{work_path}/3-channel-preprocessed-dataset'\n    train_df = pd.read_csv(f'{base_path}/3_channel_train_df{train_no}.csv')\nelse:\n    base_path = f'{work_path}/25d-preprocessed-dataset'\n    train_df = pd.read_csv(f'{base_path}/train_25d_df1.csv')\n\ntry: os.mkdir('voxel_image')\nexcept: pass\nsave_path = '/kaggle/working/voxel_image'\norigin_base_path = f'{work_path}/rsna-2022-cervical-spine-fracture-detection'\norig_train_df = pd.read_csv(f'{work_path}/rsna-2022-cervical-spine-fracture-detection/train.csv') # original train_df to fetch the length of each train image","metadata":{"id":"qvV-kvLIWeda","execution":{"iopub.status.busy":"2023-03-15T06:44:32.266667Z","iopub.execute_input":"2023-03-15T06:44:32.26693Z","iopub.status.idle":"2023-03-15T06:44:32.442831Z","shell.execute_reply.started":"2023-03-15T06:44:32.266905Z","shell.execute_reply":"2023-03-15T06:44:32.441791Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def slice_len(ID):\n    train_path = f'{origin_base_path}/train_images'\n    path = os.path.join(train_path, ID)\n    return len([file for file in os.listdir(path)])","metadata":{"id":"znA6Vu7ZamYa","execution":{"iopub.status.busy":"2023-03-15T06:44:32.443989Z","iopub.execute_input":"2023-03-15T06:44:32.444361Z","iopub.status.idle":"2023-03-15T06:44:32.45084Z","shell.execute_reply.started":"2023-03-15T06:44:32.444325Z","shell.execute_reply":"2023-03-15T06:44:32.449446Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def load_dicom(uid, idx, size=IMG_SIZE):\n    filename = f'{origin_base_path}/train_images/{uid}/{idx}.dcm'\n\n    img = dicom.read_file(filename)\n    img = img.pixel_array\n    img = cv2.resize(img, (size, size), interpolation=cv2.INTER_LINEAR)\n    img = img - np.min(img)\n    img = img / (np.max(img) + 1e-7)\n    img = (img * 255).astype(np.uint8)\n\n    return img #np.stack(img, axis=2)","metadata":{"id":"ZMmCzWc5Q_5u","execution":{"iopub.status.busy":"2023-03-15T06:44:32.452408Z","iopub.execute_input":"2023-03-15T06:44:32.452935Z","iopub.status.idle":"2023-03-15T06:44:32.4618Z","shell.execute_reply.started":"2023-03-15T06:44:32.452904Z","shell.execute_reply":"2023-03-15T06:44:32.460737Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df = [] # new df that will store the location of train and segmentation images, as well as voxel cropped numpy arrays\ncount = 0\ntrain_df_uid_list = list(set(list(train_df['StudyInstanceUID'])))\n\nfor uid in tqdm(train_df_uid_list):\n    slice_length = slice_len(uid)\n    sample_length = tot_slice * CLASS\n\n    if slice_length < sample_length: start = 0\n    else: start = (slice_length/CLASS-tot_slice)/2\n    ### start + (count == 0; C1; 29 slices) + start, start + (count == 1; C2; 29 slices) + start, ... , start + (count == 6; C7; 29 slices) + start\n    ### from C1 to C7\n    ### take 29 slices in the middle of each 7 vertebrae\n                                            \n    for count in range(CLASS):\n        if count > 0 and count < CLASS-1: # do not save background and (T1-T12), they are unnecessary in stage-2 process\n            each_cropped_voxel = []\n            each_slice_num = []\n\n            # combine 29 slices of original images\n            for each_slice in np.linspace(0, slice_length-1, sample_length, dtype=int)[count*tot_slice:(count+1)*tot_slice]:\n                image = load_dicom(uid, each_slice+1)\n                each_cropped_voxel.append(image)\n                each_slice_num.append(each_slice+1)\n\n            # append one segmentation image at the end: slice up the 3D images\n            # ex) background ; 1 ; 2 ; 3 ; 4 ; 5 ; 6 ; 7; (T1-T12)\n            seg_idx = np.linspace(0, slice_length-1, sample_length, dtype=int)[count*tot_slice+mid_slice]\n            if channel_3 == True: seg = np.load(f'{base_path}/prep_seg/{uid}_{seg_idx}.npz')['arr_0'][:, :, -1] # get the last channel of the segmetation image\n            else: seg = np.load(f'{base_path}/mask_25d/{uid}_{seg_idx}.npz')['arr_0'][:, :, -1]\n            each_cropped_voxel.append(seg)\n\n            # save cropped_voxel image\n            each_save_path = f'{save_path}/{uid}_{count}.npz'\n            with open(f'{each_save_path}', 'wb') as f:\n                np.savez_compressed(f, each_cropped_voxel) # 512 X 512 X 30 (30 channels)\n\n            del(each_cropped_voxel) # save RAM\n            df.append([f'{uid}_{count}', uid, each_slice_num, f'C{count}', each_save_path]) # save new df list of cropped_voxel","metadata":{"id":"rAm5ZUXeYeXX","execution":{"iopub.status.busy":"2023-03-15T06:44:32.464137Z","iopub.execute_input":"2023-03-15T06:44:32.464484Z","iopub.status.idle":"2023-03-15T06:55:46.845316Z","shell.execute_reply.started":"2023-03-15T06:44:32.464457Z","shell.execute_reply":"2023-03-15T06:55:46.843958Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import shutil\n\n# compress 'seg_25d' dir as a zip file\noutput_filename = 'voxel_image'\ndir_name = 'voxel_image'\nshutil.make_archive(output_filename, 'zip', dir_name)\npath = '/kaggle/working/voxel_image'\n\n# remove all files in prep_seg directory\nfor file_name in os.listdir(path):\n    file = path + '/' + file_name\n    if os.path.isfile(file):\n        os.remove(file)\n# delete uncompressed directory\nos.rmdir('voxel_image')","metadata":{"execution":{"iopub.status.busy":"2023-03-15T06:55:46.847016Z","iopub.execute_input":"2023-03-15T06:55:46.847522Z","iopub.status.idle":"2023-03-15T06:57:15.079136Z","shell.execute_reply.started":"2023-03-15T06:55:46.847477Z","shell.execute_reply":"2023-03-15T06:57:15.076626Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"save_train_df = pd.DataFrame(df, columns=['id', 'StudyInstanceUID', 'slice_num', 'vertebrae', 'image_path'])\nsave_train_df.to_csv('voxel_crop_df.csv', index=False)","metadata":{"id":"tirrVX8_NSJh","execution":{"iopub.status.busy":"2023-03-15T06:57:15.080688Z","iopub.execute_input":"2023-03-15T06:57:15.081044Z","iopub.status.idle":"2023-03-15T06:57:15.09902Z","shell.execute_reply.started":"2023-03-15T06:57:15.081011Z","shell.execute_reply":"2023-03-15T06:57:15.097703Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#os.remove('/kaggle/working/voxel_image.zip')\n#os.remove('/kaggle/working/voxel_crop_df.csv')","metadata":{"execution":{"iopub.status.busy":"2023-03-15T06:57:15.100396Z","iopub.execute_input":"2023-03-15T06:57:15.100719Z","iopub.status.idle":"2023-03-15T06:57:15.109975Z","shell.execute_reply.started":"2023-03-15T06:57:15.100693Z","shell.execute_reply":"2023-03-15T06:57:15.108843Z"},"trusted":true},"execution_count":null,"outputs":[]}]}