Fig. 8From: Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancerPerformance of the radiomics signature based on the SMOTE-LASSO model after omitting the synthetic samples generated by the SMOTE in the SMOTE-training set. a The ROC curves of radiomics signature in the SMOTE-training set. b Calibration curve of the radiomics signature in SMOTE-training and validation sets. c-d DCA for radiomics signature in SMOTE-training (c) and validation sets (d). CI: confidence interval; DCA: decision curve analyses; ROC: receiver operating curve; AUC: area under the ROC curve; SMOTE: synthetic minority over-sampling techniqueBack to article page