Deep Learning for Automated Meningioma Segmentation: Toward Clinical Integration and Workflow Efficiency
This study demonstrates that a fully automated 3D deep learning model achieves high accuracy and generalizability in segmenting meningiomas on multiparametric MRI, outperforming reference annotations in clinical plausibility while enabling rapid workflow integration.