Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study

doi:10.4251/wjgo.v17.i1.96439

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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 Study

World J Gastrointest Oncol. Jan 15, 2025; 17(1): 96439
Published online Jan 15, 2025. doi: 10.4251/wjgo.v17.i1.96439

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Figure 4 Receiver operating characteristic curves for predicting hepatocellular carcinoma microvascular invasion using artificial neural network models constructed on different sequence features. T2WI: T2-weighted imaging; AUC: Area under curve; AP: Arterial phases; VP: Venous phase; DP: Delayed phase.

Citation: Nong HY, Cen YY, Lu SJ, Huang RS, Chen Q, Huang LF, Huang JN, Wei X, Liu MR, Li L, Ding K. Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study. World J Gastrointest Oncol 2025; 17(1): 96439
URL: https://www.wjgnet.com/1948-5204/full/v17/i1/96439.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i1.96439