Machine learning-based radiomic nomogram from unenhanced computed tomography and clinical data predicts bowel resection in incarcerated inguinal hernia

Figure 4 Receiver operating characteristic curves and decision curve analysis. A and B: Receiver operating characteristic curves for the clinical factor model, the radiomic signature, and the radiomic nomogram in the training sets (A) and test sets (B); C and D: Decision curve analysis for the radiomic nomogram model in the training (C) and test (D) sets. AUC: Area under the curve; CI: Confidence interval; DCA: Decision curve analysis.