Fig. 6From: Deep learning–based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic featuresROC and calibration curves of the radiomics model in the training and test sets. A ROC curve of radiomics model based on the radiomics features extracted from automatic segmentation; B ROC curve of radiomics model based on the radiomics features extracted from manual segmentation; C Calibration curve of radiomics model based on the radiomics features extracted from automatic segmentation; D Calibration curve of radiomics model based on the radiomics features extracted from manual segmentation. E Decision curve analysis of radiomics model based on the radiomics features extracted from automatic segmentation; F Decision curve analysis of radiomics model based on the radiomics features extracted from manual segmentationBack to article page