Yushuai Zhou

Abstract Retinal vessel segmentation is a fundamental task in ophthalmic image analysis, playing a critical role in disease screening and clinical diagnosis. However, accurately delineating fine-grained micro-vessels while preserving global topological integrity remains challenging due to complex vascular structures, low contrast, and fragmented appearances. To tackle these issues, we propose nnLoGoNet, a novel hybrid local–global network architecture built upon the nnUNet framework.