Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

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Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling

REVIEW | Updated：2025-12-13

- Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
- Yuan-Peng Zhang , Yuan-Peng Zhang , Xin-Yun Zhang , Yu-Ting Cheng , Bing Li , Xin-Zhi Teng , Jiang Zhang , Saikit Lam , Ta Zhou , Zong-Rui Ma , Jia-Bao Sheng , Victor C. W. Tam , Shara W. Y. Lee , Hong Ge , Jing Cai
- Military Medical Research Vol. 11, Issue 1, Pages: 115-147(2024)
- Affiliations：
  1.Department of Medical Informatics, Nantong University, Nantong 226001, Jiangsu, China
  2.Department of Health Technology and Informatics, the Hong Kong Polytechnic University, Hong Kong 999077, China
  3.The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518000, Guangdong, China
  4.Department of Radiation Oncology, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450008, China
- Author bio：
  * jing.cai@polyu.edu.hk
- Funds：
- DOI： 10.1186/s40779-023-00458-8
  CLC：
- Accepted：
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