Bridging global context and local precision using a disagreement-based region specific ensemble of Swin UNETR and SegResNet for 3D glioma segmentation
Results indicate that the Region Adaptive fusion with a disagreement-based refinement between convolutional and transformer-based models leads to a robust framework for brain tumor segmentation, that upon further research and validation might turn out to be suitable for clinical decision making and treatment planning.