Fig. 7From: Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancerPerformance of the radiomics score generated by the SMOTE-LASSO model. a The coefficients of nine features in SMOTE-LASSO model. b Pairwise Spearman rank correlation among nine features in SMOTE-LASSO model. c The violin plot of the radiomics score based on the SMOTE-LASSO model in the SMOTE-training set. d The violin plot of the radiomics score based on the SMOTE-LASSO model in the validation set. SVM: support vector machine; SMOTE: synthetic minority over-sampling techniqueBack to article page