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Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomo...

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7101374

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

About this item

Full title

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2020-03, Vol.10 (1), p.5619-5619, Article 5619

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Diabetic macular edema (DME) and retina vein occlusion (RVO) are macular diseases in which central photoreceptors are affected due to pathological accumulation of fluid. Optical coherence tomography allows to visually assess and evaluate photoreceptor integrity, whose alteration has been observed as an important biomarker of both diseases. However,...

Alternative Titles

Full title

Automated Quantification of Photoreceptor alteration in macular disease using Optical Coherence Tomography and Deep Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7101374

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7101374

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-020-62329-9

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