MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module
MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module
About this item
Full title
Author / Creator
Cao, Juan , Chen, Jiaran , Gu, Yuanyuan and Liu, Jinjia
Publisher
Switzerland: Frontiers Research Foundation
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: Frontiers Research Foundation
Subjects
More information
Scope and Contents
Contents
The accurate segmentation of retinal vessels is of utmost importance in the diagnosis of retinal diseases. However, the complex vessel structure often leads to poor segmentation performance, particularly in the case of microvessels.
To address this issue, we propose a vessel segmentation method composed of preprocessing and a multi-scale feature...
Alternative Titles
Full title
MFA-UNet: a vessel segmentation method based on multi-scale feature fusion and attention module
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_52e80db673154841bad4872ca9b2d268
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_52e80db673154841bad4872ca9b2d268
Other Identifiers
ISSN
1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2023.1249331
