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Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion usin...

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion usin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a30f128685a44e5e8d2e91b490234b53

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning

About this item

Full title

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2017-06, Vol.7 (1), p.2928-11, Article 2928

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Vitreomacular adhesion (VMA) represents a prognostic biomarker in the management of exudative macular disease using anti-vascular endothelial growth factor (VEGF) agents. However, manual evaluation of VMA in 3D optical coherence tomography (OCT) is laborious and data on its impact on therapy of retinal vein occlusion (RVO) are limited. The aim of t...

Alternative Titles

Full title

Evaluating the impact of vitreomacular adhesion on anti-VEGF therapy for retinal vein occlusion using machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a30f128685a44e5e8d2e91b490234b53

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a30f128685a44e5e8d2e91b490234b53

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-017-02971-y

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