Fig. 3From: Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT imageBased upon Gd-EOB-DTPA-enhanced hepatic MRI, a XGBoost ROC curve when ICG-R15 = 10% was selected as a threshold; b Random Forest ROC curve when ICG-R15 = 20% was selected as a threshold; c XGBoost ROC curve when ICG-R15 = 30% was selected as a threshold. Based upon contrast-enhanced CT, d XGBoost ROC curve when ICG-R15 = 10% was selected as a threshold; e SVM ROC curve when ICG-R15 = 20% was selected as a threshold; f XGBoost ROC curve when ICG-R15 = 30% was selected as a thresholdBack to article page