Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation-Reference-Cited by-同舟云学术

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Li Yang¹^ORCID,Zhang Yue¹^ORCID,Liu Jing-Yu¹^ORCID,Wang Kang²,Zhang Kai³,Zhang Gen-Sheng³,Liao Xiao-Feng⁴^ORCID,Yang Guang⁵^ORCID

Affiliation:

1. School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China

2. Department of Ophthalmology, Beijing Friendship Hospital, Beijing, China

3. Second Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China

4. College of Computer Science, Chongqing University, Chongqing, China

5. National Heart and Lung Institute, Imperial College London, London, U.K.

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing United Imaging Research Institute of Intelligent Imaging Foundation

British Heart Foundation

European Research Council (ERC), Innovative Medicines Initiative

Horizon 2020 Framework Programme

Medical Research Council

U.K. Research and Innovation (UKRI) Future Leaders Fellowship

Zhejiang Lab’s International Talent Fund for Young Professionals

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09863763.pdf?arnumber=9863763

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