Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer

doi:10.4251/wjgo.123187

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Oncol. Nov 15, 2026; 18(11): 123187
Published online Nov 15, 2026. doi: 10.4251/wjgo.123187

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Figure 5 Receiver operating characteristic curves of each group of models in the validation set. ROC: Receiver operating characteristic.

Citation: Dong WH, Ling X, Chen XD, Qian JP, Jin Y, Gu YJ. Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer. World J Gastrointest Oncol 2026; 18(11): 123187
URL: https://www.wjgnet.com/1948-5204/full/v18/i11/123187.htm
DOI: https://dx.doi.org/10.4251/wjgo.123187

Dong WH, Ling X, Chen XD, Qian JP, Jin Y, Gu YJ. Establishment and validation of a multimodal model using deep learning for the recognition of early colorectal cancer. World J Gastrointest Oncol 2026; 18(11): 123187 [DOI: 10.4251/wjgo.123187]

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