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

Artificial Intelligence (1216) Machine Learning (1401) Decision Support for Health Professionals (1147) Imaging Informatics (187) Innovations and Technology in Cancer Care (405)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25167, first published .
Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study

Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study

Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study

Authors of this article:

Chang Seok Bang1, 2, 3, 4 Author Orcid Image ;   Hyun Lim1 Author Orcid Image ;   Hae Min Jeong1 Author Orcid Image ;   Sung Hyeon Hwang1 Author Orcid Image
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