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SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff536066ff9640f4b88eebcb53e8f7ca

SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

About this item

Full title

SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-06, Vol.13 (1), p.9087-16, Article 9087

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Diabetic retinopathy (DR) is a diabetes complication that can cause vision loss among patients due to damage to blood vessels in the retina. Early retinal screening can avoid the severe consequences of DR and enable timely treatment. Nowadays, researchers are trying to develop automated deep learning-based DR segmentation tools using retinal fundus...

Alternative Titles

Full title

SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ff536066ff9640f4b88eebcb53e8f7ca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ff536066ff9640f4b88eebcb53e8f7ca

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-36311-0

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