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A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms

Ophthalmology Science(2022)10.1016/j.xops.2022.100149Source: DataRank Database

A Deep Learning Network for Classifying Arteries and Veins in Montaged Widefield OCT Angiograms is a research paper published in Ophthalmology Science (2022). On theSindex it has a DataRank of 0. It has been cited 41 times.

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Open Access41 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: goldTopics (9)IDs (PubMed)SDGs (1)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Yukun Guo ORCID,Tristan T. Hormel ORCID,K. Tsuboi ORCID,George Pacheco ORCID,David Poole ORCID

Live enrichment

PubMed:36278031

National Institutes of Health

Grant: 5R01EY031394-02

Visible-light OCT angiography, velocimetry, and oximetry for characterizing retinal vascular alterations in glaucoma

National Institutes of Health

Grant: 5R01EY024544-06

OCT Angiography for Neovascular Age-related Macular Degeneration

National Institutes of Health

Grant: 3P30EY010572-20S1

OPHTHALMOLOGY CORE FACILITY

National Institutes of Health

Grant: 5T32EY023211-12

Translational Vision Science Research at Oregon Health & Science University

National Institutes of Health

Grant: 5R01EY027833-03

Wide-field and projection-resolved optical coherence tomography angiography in diabetic retinopathy

goldLicense: cc-by-nc-nd

publisherhttp://www.ophthalmologyscience.org/article/S2666914522000380/pdf

repositoryhttps://doaj.org/article/80d77b236e0d4c438e6068d3c0b014ec

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9562370

https://doi.org/10.1016/j.xops.2022.100149

https://pubmed.ncbi.nlm.nih.gov/36278031

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

Classification of arteries and veinsOphthalmologyDeep learningMeasurement of their caliber and tortuosityOriginal ArticleRE1-994

Sustainable Development Goals

SDG 16: 16. Peace & justice