Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies
Published: 8 April 2020| Version 11 | DOI: 10.17632/gv5j2gk467.11
Contributor:
Jiangdian Song
Description
Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset 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 of this study.
Files
Categories
Medical Imaging