{"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\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 read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Learn about PyDICOM files.\nBelow list of Kaggle kernels, resources and links from where you can learn more about DICOM format and what tools you can use to extract content from the DICOM files.\n\n* Kevin Mader, Lung Opacity Overview, https://www.kaggle.com/kmader/lung-opacity-overview\n* Modality Specific Modules, DICOM Standard, http://dicom.nema.org/medical/dicom/2014c/output/chtml/part03/sect_C.8.html\n* DICOM Standard, https://www.dicomstandard.org/\n* Getting Started with Pydicom, https://pydicom.github.io/pydicom/stable/getting_started.html\n* ITKPYthon package, https://itkpythonpackage.readthedocs.io/en/latest/\n* DICOM in Python: Importing medical image data into NumPy with PyDICOM and VTK, * * * https://pyscience.wordpress.com/2014/09/08/dicom-in-python-importing-medical-image-data-into-numpy-with-pydicom-and-vtk/\n* DICOM Processing and Segmentation in Python, https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/\n* DICOM Standard Browser, https://dicom.innolitics.com/ciods\n* How can I read a DICOM image in Python, https://www.quora.com/How-can-I-read-a-DICOM-image-in-Python\n* DICOM read example in Python, https://www.programcreek.com/python/example/97517/dicom.read_file\n* DICOM in Python, https://github.com/pydicom","execution_count":null},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"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}