DuS-Net: Spatial-Semantic Dual-Collaborative Architecture for MRI Glioma Segmentation
Automatic and precise segmentation of brain gliomas from magnetic resonance imaging (MRI) is of great significance for clinical auxiliary diagnosis and treatment planning. To address the high heterogeneity of brain gliomas, blurred boundary localization caused by infiltrative growth, and difficulty in extracting local...