Decoding medical image features for human cancer

Here are all the raw data about the study of "Decoding medical image feature for human cancer". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human cancers, 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.