{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport os\nimport pydicom\npts = [\"ID00011637202177653955184\",\"ID00052637202186188008618\"]\npaths = [\"../input/osic-pulmonary-fibrosis-progression\",\"../input/osic-pulmonary-fibrosis-progression-decompressed\"]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for s in os.listdir(paths[0]+\"/train/\"+pts[0]+'/'):\n    sl = pydicom.read_file(paths[0]+\"/train/\"+pts[0]+'/'+s)\n    pixel_array = np.zeros((sl.Rows,sl.Columns))\n    pixel_array = sl.pixel_array","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"for s in os.listdir(paths[0]+\"/train/\"+pts[1]+'/'):\n    sl = pydicom.read_file(paths[0]+\"/train/\"+pts[1]+'/'+s)\n    pixel_array = np.zeros((sl.Rows,sl.Columns))\n    pixel_array = sl.pixel_array","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"for pt in pts:\n    for s in os.listdir(paths[1]+\"/train/\"+pt+'/'):\n        sl = pydicom.read_file(paths[1]+\"/train/\"+pt+'/'+s)\n        pixel_array = np.zeros((sl.Rows,sl.Columns))\n        pixel_array = sl.pixel_array\nprint(\"Fin.\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"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}