DBFU-Net: Double branch fusion U-Net with hard example weighting train strategy to segment retinal vessel
Background Many fundus imaging modalities measure ocular changes.Automatic retinal vessel segmentation (RVS) is a significant fundus image-based method for the diagnosis of ophthalmologic diseases.However, precise vessel segmentation is a challenging task when detecting micro-changes in fundus images, e.g., tiny vessels, vessel edges, vessel lesion