A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model

摘要

Background and Objective: Automatic monitoring of retinal blood vessels proves very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This paper presents an efficient and accurate deep learning-based method for vessel segmentation in eye fundus images.