Fig. 5From: Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomicsROC curve of training set. a ROC curves of KNN methods to classification. b ROC curves of SVM methods to classification. c ROC curves of XGBoost methods to classification. d ROC curves of RF methods to classification. e ROC curves of LR methods to classification. f ROC curves of DT methods to classificationBack to article page