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Article: Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation

TitleDual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation
Authors
Issue Date2022
Citation
IEEE Transactions on Medical Imaging, 2022, v. 41, p. 1975-1989 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/317419
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLI, Y-
dc.contributor.authorZHANG, Y-
dc.contributor.authorCUI, W-
dc.contributor.authorLEI, B-
dc.contributor.authorKUANG, X-
dc.contributor.authorZhang, T-
dc.date.accessioned2022-10-07T10:20:10Z-
dc.date.available2022-10-07T10:20:10Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Medical Imaging, 2022, v. 41, p. 1975-1989-
dc.identifier.urihttp://hdl.handle.net/10722/317419-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Medical Imaging-
dc.titleDual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation-
dc.typeArticle-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.doi10.1109/TMI.2022.3151666-
dc.identifier.hkuros337432-
dc.identifier.volume41-
dc.identifier.spage1975-
dc.identifier.epage1989-
dc.identifier.isiWOS:000837269000007-

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