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©The Author(s) 2025.
World J Hepatol. Aug 27, 2025; 17(8): 109530
Published online Aug 27, 2025. doi: 10.4254/wjh.v17.i8.109530
Published online Aug 27, 2025. doi: 10.4254/wjh.v17.i8.109530
Figure 3 Receiver operating characteristic curve analysis of different models in predicting high Ki-67 risk stratification in both groups.
A: Training groups; B: Validation groups. DTL: Deep transfer learning; AUC: Area under the curve.
- Citation: Zuo XY, Liu HF. Biparametric magnetic resonance imaging-based radiomic and deep learning models for predicting Ki-67 risk stratification in hepatocellular carcinoma. World J Hepatol 2025; 17(8): 109530
- URL: https://www.wjgnet.com/1948-5182/full/v17/i8/109530.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i8.109530