- 著者
-
仲本 宗泰
芳賀 昭弘
高橋 渉
- 出版者
- 公益社団法人 日本医学物理学会
- 雑誌
- 医学物理 (ISSN:13455354)
- 巻号頁・発行日
- vol.38, no.3, pp.129-134, 2018-12-25 (Released:2018-12-25)
- 参考文献数
- 41
Recently, in a medical field, quantitative data mining is a hot topic for performing a precision (or personalized) medicine. Although a molecular biological data has been mainly utilized for data mining in this field, medical images are also important minable data. Radiomics is a comprehensive analysis methodology for describing tumor phenotypes or molecular biological expressions (e.g. genotypes) using minable feature extracted from a large number of medical images. In this review paper, we introduce to a framework of the radiomics.