Preoperative model for predicting early recurrence in hepatocellular carcinoma patients using radiomics and deep learning: A multicenter study

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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

Retrospective Cohort Study

World J Gastrointest Oncol. Jun 15, 2025; 17(6): 106608
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106608

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Figure 2 The process of patient selection. CT: Computed tomography; HCC: Hepatocellular carcinoma.

Citation: Li YH, Qian GX, Yao L, Lei XD, Zhu Y, Tang L, Xu ZL, Bu XY, Wei MT, Lu JL, Jia WD. Preoperative model for predicting early recurrence in hepatocellular carcinoma patients using radiomics and deep learning: A multicenter study. World J Gastrointest Oncol 2025; 17(6): 106608
URL: https://www.wjgnet.com/1948-5204/full/v17/i6/106608.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i6.106608

Li YH, Qian GX, Yao L, Lei XD, Zhu Y, Tang L, Xu ZL, Bu XY, Wei MT, Lu JL, Jia WD. Preoperative model for predicting early recurrence in hepatocellular carcinoma patients using radiomics and deep learning: A multicenter study. World J Gastrointest Oncol 2025; 17(6): 106608 [PMID: 40547169 DOI: 10.4251/wjgo.v17.i6.106608]

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