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This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (407) Colon and Rectal Cancer (53) Imaging Informatics (327) Medical imaging (131) Machine Learning (2218)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77313, first published .
Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning–Based Radiomics Model

Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning–Based Radiomics Model

Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning–Based Radiomics Model

Authors of this article:

Yiqun Li1 Author Orcid Image ;   Hengchang Liu2 Author Orcid Image ;   Qiang Wei1 Author Orcid Image ;   Zhenqi Wang1 Author Orcid Image ;   Zhen Hu1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Yiqun Li   1 * , MS ;   Hengchang Liu   2 * , PhD ;   Qiang Wei   1 , MS ;   Zhenqi Wang   1 , MS ;   Zhen Hu   1 , MS

1 Department of Colorectal and Anal Surgery, Shanxi Provincial People's Hospital, Taiyuan, China

2 Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center of Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Zhen Hu, MS
  • Department of Colorectal and Anal Surgery
  • Shanxi Provincial People's Hospital
  • No. 29 Shuangtasi Street
  • Taiyuan 030012
  • China
  • Phone: 86 0351-4960080
  • Email: hu_zhen0351@163.com