Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support

doi:10.4251/wjgo.121975

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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. Sep 15, 2026; 18(9): 121975
Published online Sep 15, 2026. doi: 10.4251/wjgo.121975

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Figure 1 Graphical overview of multitask learning in hepatocellular carcinoma. MTL: Multitask learning; HCC: Hepatocellular carcinoma; AI: Artificial intelligence; MTM: Macrotrabecular-massive; MVI: Microvascular invasion; VETC: Vessels encapsulating tumor clusters; RFS: Recurrence-free survival; OS: Overall survival; TACE: Transarterial chemoembolization.

Citation: Akbulut S, Colak C. Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support. World J Gastrointest Oncol 2026; 18(9): 121975
URL: https://www.wjgnet.com/1948-5204/full/v18/i9/121975.htm
DOI: https://dx.doi.org/10.4251/wjgo.121975

Akbulut S, Colak C. Multitask learning in hepatocellular carcinoma: Integrating diagnosis, prognosis, and clinical decision support. World J Gastrointest Oncol 2026; 18(9): 121975 [DOI: 10.4251/wjgo.121975]

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