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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 4 Area under the receiver operating characteristic curve curves for training set, internal validation set, and external validation set.
A: Area under the receiver operating characteristic curve (AUC) for the training set; B: AUC for the internal validation set; C: AUC for the external 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.
- 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