Computed tomography radiomics-based machine learning nomogram for preoperative prediction of glypican-3 expression in hepatocellular carcinoma

Figure 4 Comparison of area under the curve values for radiomics models using DeLong’s test in training and testing cohorts. A: DeLong test results comparing area under the curve values of the radiomics model in the training cohort, indicating statistical differences in model performance; B: DeLong test results comparing area under the curve values of the radiomics model in the testing cohort, assessing the significance of predictive performance differences on independent data. KNN: K-nearest neighbors; LightGBM: Light Gradient Boosting Machine; LR: Logistic regression; MLP: Multilayer perceptron; SVM: Support vector machine; XGBoost: Extreme gradient boosting.