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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Computer-Aided Diagnosis (128) Imaging Informatics (193) Machine Learning (1465) Clinical Cancer Research (83) Innovations in Cancer Diagnostic and Decision Support (58) Gastroenterology and Hepatology (68)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56851, first published .
Development and Validation of a Computed Tomography–Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study

Development and Validation of a Computed Tomography–Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study

Development and Validation of a Computed Tomography–Based Model for Noninvasive Prediction of the T Stage in Gastric Cancer: Multicenter Retrospective Study

Authors of this article:

Jin Tao1, 2 Author Orcid Image ;   Dan Liu3 Author Orcid Image ;   Fu-Bi Hu4 Author Orcid Image ;   Xiao Zhang5 Author Orcid Image ;   Hongkun Yin6 Author Orcid Image ;   Huiling Zhang6 Author Orcid Image ;   Kai Zhang6 Author Orcid Image ;   Zixing Huang3 Author Orcid Image ;   Kun Yang1, 2 Author Orcid Image
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