Abstract: Medical image segmentation remains challenging due to limitations in suppressing background interference, inefficient fusion of local-global features, and excessive computational costs in ...
Abstract: Semantic segmentation plays a pivotal role in analyzing high-resolution aerial imagery, forming the backbone of critical applications like urban planning, environmental monitoring, and ...