Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies

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.本部分收录了《多个人类恶性肿瘤医学影像特征的解码与系统化研究》的全部原始数据，具体包括：本文提出的用于阐明医学影像特征与人类恶性肿瘤之间关联关系的相关图谱、用于探究纹理特征数值分布规律并阐释不同影像特征值视觉差异的1000例肺癌患者CT影像数据集，以及本研究的全部源代码。