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

Tools, Programs and Algorithms (431) Imaging Informatics (359) Machine Learning (2337) Colon and Rectal Cancer (56) Medical imaging (148)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77313, first published .
Radiomics analysis predicts tumor response: shrinking (good) vs. persistence (poor).

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
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Journals

  1. Zheng P, Xu D, Chen K, Huang Z, Zhang Z, Lin S. Preoperative prediction of lymphatic metastasis in rectal cancer using a fusion model based on multiparameter magnetic resonance imaging: a retrospective validation study. Frontiers in Oncology 2026;16 View