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©The Author(s) 2025.
World J Gastrointest Oncol. Jun 15, 2025; 17(6): 106608
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106608
Published online Jun 15, 2025. doi: 10.4251/wjgo.v17.i6.106608
Figure 3 Comparative analysis of area under the receiver operating characteristic curve for the six models.
A: Comparison of area under the receiver operating characteristic curve (AUC) for the six models on the training set; B: Comparison of AUC for the six models on the internal validation set. AUC: Area under the receiver operating characteristic curve; Combined: The model that incorporates features from all regions—tumor, 5 mm, and 10 mm; P5: The 5 mm peri-tumor model; P10: The 10 mm peri-tumor model; T: The tumor-only model; TP5: The tumor-peri-tumor 5 mm model; TP10: The tumor-peri-tumor 10 mm model.
- 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