{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true,"collapsed":true},"cell_type":"code","source":"train_dir='../input/stage_1_train_images/'\n#print (os.listdir(train_dir))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"7283b1be357acb87ad4ea1306e166ee92fae2164","collapsed":true},"cell_type":"code","source":"import pydicom as pm\n#show=pm.read_file('../input/stage_1_train_images/4ba3e640-eb0a-4f4f-900c-af7405bc1790.dcm')\nshow_=pm.dcmread('../input/stage_1_train_images/008c19e8-a820-403a-930a-bc74a4053664.dcm')\n#plt.imshow(show)\n#print (show_)\n#print (show.PixelData)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"b46e521ff83d8861621f6fc147aa838366439711"},"cell_type":"code","source":"from matplotlib import pyplot as plt\nplt.imshow(show_.pixel_array,cmap=plt.cm.bone)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"8dc2da2b67da15b272ebb4d829238a5e054e315e"},"cell_type":"code","source":"#In a dcm image, pixel_array attribute is used to view the print the pixel wise data of image in grayscale\nprint (show_.pixel_array[(show_.Rows-1),(show_.Columns-1)])","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}