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Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods

IEEE Access(2021)10.1109/access.2021.3056430Source: DataRank Database

Discrimination of Diabetic Retinopathy From Optical Coherence Tomography Angiography Images Using Machine Learning Methods is a research paper published in IEEE Access (2021). On theSindex it has a DataRank of 0. It has been cited 37 times.

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Open Access37 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: goldTopics (9)IDs (PubMed)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Chen Wang ORCID,Xiaodong Cai ORCID,Hong Jiang ORCID,Jianhua Wang ORCID,Zhiping Liu ORCID

Live enrichment

PubMed:19162232

National Institutes of Health (NIH) Center

Grant: P30EY014801

National Institutes of Health (NIH) Center

Grant: NINDS1R01NS111115-01

Guangzhou Municipal Science and Technology Project

Grant: 201804010038

Basic and Applied Basic Research Foundation of Guangdong Province

Grant: 2020A1515010276

National Institutes of Health

Grant: 5P30EY014801-03

Miami Center for Vision Research

National Institutes of Health

Grant: 1R01NS111115-01

Novel Biomarkers of Small Vessel Contributions to Vascular Cognitive Impairment and Dementia (VCID)

goldLicense: cc-by

publisherhttps://ieeexplore.ieee.org/ielx7/6287639/9312710/09344690.pdf

publisherhttp://xplorestaging.ieee.org/ielx7/6287639/9312710/09344690.pdf?arnumber=9344690

repositoryhttps://doaj.org/article/f84a093729d340cca6d0ff2bfd688b14

https://doi.org/10.1109/access.2021.3056430

https://doi.org/10.1109/ACCESS.2021.3056430

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

machine learningDiabetic retinopathylogistic regressionlogistic regression regularized with the elastic net penaltysupport vector machineElectrical engineering. Electronics. Nuclear engineeringTK1-9971