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Automated image curation in diabetic retinopathy screening using deep learning

Automated image curation in diabetic retinopathy screening using deep learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_746cfe6d9f424c61b871fa675d86464b

Automated image curation in diabetic retinopathy screening using deep learning

About this item

Full title

Automated image curation in diabetic retinopathy screening using deep learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-07, Vol.12 (1), p.11196-12, Article 11196

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and multi-output laterality, retinal presence, retinal field and gradability classification deep learning (DL) models...

Alternative Titles

Full title

Automated image curation in diabetic retinopathy screening using deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_746cfe6d9f424c61b871fa675d86464b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_746cfe6d9f424c61b871fa675d86464b

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-15491-1

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