DGFI-Net: dual-branch guided feature interaction network for brain tumor segmentation

Introduction Accurate brain tumor segmentation is essential for clinical diagnosis and treatment planning. However, the complex anatomical structures, blurred tumor boundaries, and large inter-patient variability pose significant challenges to existing segmentation models. To address these issues, we propose DGFI-Net, a dual-branch guided feature interaction network. Methods DGFI-Net introduces an auxiliary branch to guide the main branch’s feature learning via hierarchical interaction. Specific