Copyright
©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 5 Calibration curve and decision curve analysis curve of the model that incorporates features from all regions—tumor, 5 mm, and 10 mm model.
A: Represent the calibration curves of the model that incorporates features from all regions—tumor, 5 mm, and 10 mm (combined) model on the training set, internal validation set, and external validation set, respectively; B: Represent the calibration curves of the combined model on the internal validation set; C: Represent the calibration curves of the combined model on the external validation set; D: Represent the decision curve analysis (DCA) curves of the combined model on the training set; E: Represent the DCA curves of the combined model on the internal validation set; F: Represent the DCA curves of the combined model on the external validation set. 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