2 papers
cs.CV2026
CGDD-Net: Context-Guided Dynamic Detail Modeling for Retinal Vessel Segmentation
Xincheng Li, Xiaoqi Sheng, Xinyu Zhang
Accurate retinal vessel segmentation requires features that capture vascular geometry while preserving information for fine-scale reconstruction. We propose CGDD-Net, a context-gui…
cs.CV2025
DB-KAUNet: An Adaptive Dual Branch Kolmogorov-Arnold UNet for Retinal Vessel Segmentation
Hongyu Xu, Panpan Meng, Meng Wang +3
Accurate segmentation of retinal vessels is crucial for the clinical diagnosis of numerous ophthalmic and systemic diseases. However, traditional Convolutional Neural Network (CNN)…