Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.

• The multiparametric DL model showed robustness in grading and segmentation on external validation. • The diagnostic performance of the combined DL grading model was higher than that of the human readers. • The RCAM interpreted that DL grading model recognized the meaningful features at the tumor margin for grading.