Artificial intelligence-integrated multimodal data-assisted magnetic resonance imaging for neoadjuvant chemoradiotherapy decision-making in cT1-2N0 rectal cancer

Figure 3 Performance evaluation of the radiomics machine-learning model in internal validation and of the Clinical, Hematologic, Oncopathologic, and Radiomic Decision model in both internal and external validation. A-C: They display receiver operating characteristic curves; D-F: They show confusion matrices; G-I: They present calibration plots; J-L: Thet depict decision-curve analyses. AUC: Area under the curve; GBM: Gradient boosting machine; KNN: K-nearest neighbors; ROC: Receiver operating characteristic; SVM: Support vector machine.