In order to address the problem of vascular branch breakage existing in the process of retinal vessel segmentation at present,a non-local Unet model(N-Unet)is proposed.The model retained the encoder-decoder symmetric structure,and introduced non-local blocks at the encoder stage,which made the model pay attention to non-local information in the process of feature extraction and better capture the relationship between non-adjacent pixels in the image.This model was evaluated on the public dataset DRIVE,and gained 0.952 3 accuracy,0.802 1 sensitivity,0.974 3 specificity,and 0.894 9 AUC,respectively.Experimental results show that this method performs well in solving the problem of branch breakage in the process of blood vessel segmentation,and has research significance.
国家科技期刊平台
NSTL
万方数据
维普
