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Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation...

Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a95ffbc13704f83b8965f1e0ae07db4

Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma

About this item

Full title

Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma

Publisher

New Zealand: Dove Medical Press Limited

Journal title

Clinical ophthalmology (Auckland, N.Z.), 2020-02, Vol.14, p.419-429

Language

English

Formats

Publication information

Publisher

New Zealand: Dove Medical Press Limited

More information

Scope and Contents

Contents

To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundus images, (3) distinction between right eye (OD) and left eye (OS) retinal fundus images,(4) detection of ag...

Alternative Titles

Full title

Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6a95ffbc13704f83b8965f1e0ae07db4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a95ffbc13704f83b8965f1e0ae07db4

Other Identifiers

ISSN

1177-5483,1177-5467

E-ISSN

1177-5483

DOI

10.2147/OPTH.S235751

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