MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image

Purpose: Accurate retinal vessel segmentation is of great value in the auxiliary screening of various diseases. However, due to the low contrast between the ends of the branches of the fundus blood vessels and the background, and the variable morphology of the optic disc and cup in the retinal imag...

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Bibliographic Details
Published in:	Mathematical Biosciences and Engineering
Main Authors:	Jinke Wang, Lubiao Zhou, Zhongzheng Yuan, Haiying Wang, Changfa Shi
Format:	Article
Language:	English
Published:	AIMS Press 2023-02-01
Subjects:	retinal vessel segmentation fundus image multi-scale deep learning
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2023298?viewType=HTML

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