Application of Improved U-Net in Retinal Vessel Segmentation

Application of Improved U-Net in Retinal Vessel Segmentation

In order to solve the problems that it is difficult to accurately identify the vascular boundary and the low contrast between the blood vessel and the background in fundus retinal vascular segmentation, an encoder-decoder algorithm is proposed. In order to improve the segmentation ability of the alg...

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Bibliographic Details
Main Author:	GU Penghui, XIAO Zhiyong
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-03-01
Series:	Jisuanji kexue yu tansuo
Subjects:	\|retinal vessels\|u-net\|boundary refinement (br)\|position attention (pa) module\|channel attention (ca) module\|global convolutional network (gcn)
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2010061.pdf

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