BEGA-UNet: Boundary-Explicit Guided Attention U-Net with Multi-Scale Feature Aggregation for Colonoscopic Polyp Segmentation
The paper proposes BEGA-UNet, a boundary-aware segmentation architecture integrating explicit edge modeling, dual-path attention, and multi-scale feature aggregation to achieve state-of-the-art accuracy and superior cross-domain robustness in colonoscopic polyp segmentation.