A precise image-based retinal blood vessel segmentation method using TAOD-CFNet

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成果类型：

期刊论文

作者：

"Yang, Yixin;Sun, Lixiang;Tang, Zhiwen;Liu, Genhua;Zhou, Guoxiong;...

通讯作者：

Genhua Liu<&wdkj&>Guoxiong Zhou

作者机构：

["Yang, Yixin; Sun, Lixiang; Tang, Zhiwen; Liu, Genhua; Zhou, Guoxiong; Li, Lin] School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China

[Cai, Weiwei] School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China

[Li, Liujun] Department of Civil, Architectural and Environmental Engineering, Missouri University of Science & Technology, Rolla 65401, USA

[Chen, Lin] Zhuzhou Sany Aier Eye Hospital, Zhuzhou 412002, China

[Hu, Linan"] Department of Radiology, Zhuzhou Central Hospital, Zhuzhou 412001, China

通讯机构：

[Genhua Liu; Guoxiong Zhou] S

School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China

语种：

英文

期刊：

Biomedical Signal Processing and Control

ISSN：

1746-8094

年：

2025

卷：

107

页码：

107815

DOI：

10.1016/j.bspc.2025.107815

机构署名：

本校为第一且通讯机构

院系归属：

计算机与信息工程学院

摘要：

In 2013, an estimated 64 million people between the ages of 40 and 80 were suffering from eye disease. By 2020, that number had climbed to 76 million. It is predicted that by 2040, there will be a staggering 111.8 million glaucoma patients worldwide. Segmentation of blood vessels in retinal images can be used to investigate many diseases, and the complexity of the blood vessels and the variable conditions inside the retina pose a high challenge for accurate segmentation. Therefore, a competing fusion segmentation network (TAOD −CFNet) with a t...

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A precise image-based retinal blood vessel segmentation method using TAOD-CFNet

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