Decoding of medical image feature for human cancer
Published: 17 April 2019| Version 1 | DOI: 10.17632/gv5j2gk467.1
Contributor:
Jiangdian SongDescription
Here are all the raw data about the study of "Decoding of medical image feature for human cancer". Including the proposed correlation atlas to clarify the relationship between image meta-features and human cancers, and the original image data of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code for calculating of this study.
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Institutions
- China Medical University
Categories
Image Analysis (Medical Imaging)