Copyright: ©Author(s) 2026.
Figure 8 Calibration curves for the training and testing cohorts.
A: Calibration curve of the model in the training cohort, illustrating the agreement between predicted and observed probabilities; B: Calibration curve of the model in the testing cohort, demonstrating the model’s calibration performance on independent data. Clinic: Clinical model; ALL: Random forest radiomics model; Nomogram: Combined model.
- Citation: Zheng ZH, Wu CH, Hu JB, Xu JF, Zi XY, Chen JH, He Q, Dong WY. Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma. World J Radiol 2026; 18(7): 121161
- URL: https://www.wjgnet.com/1949-8470/full/v18/i7/121161.htm
- DOI: https://dx.doi.org/10.4329/wjr.121161