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Predicting Glaucoma before Onset Using Deep Learning

Ophthalmology Glaucoma(2020)10.1016/j.ogla.2020.04.012Source: DataRank Database

Predicting Glaucoma before Onset Using Deep Learning is a research paper published in Ophthalmology Glaucoma (2020). On theSindex it has a DataRank of 0. It has been cited 101 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access101 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: bronzeTopics (27)IDs (PubMed, PMC)SDGs (2)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Michael H. Goldbaum ORCID,Siamak Yousefi ORCID,Anshul Thakur ORCID

Live enrichment

PubMed:33012331 PMC:PMC10586722

NEI NIH HHS

Grant: R21 EY030142

NEI NIH HHS

Grant: R21 EY031725

National Institutes of Health

Grant: 1R21EY030142-01

A hybrid artificial intelligence framework for glaucoma monitoring

National Eye Institute

Research to Prevent Blindness

bronzeLicense: Elsevier TDM

publisherhttps://api.elsevier.com/content/article/PII:S2589419620301071?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2589419620301071?httpAccept=text/plain

https://doi.org/10.1016/j.ogla.2020.04.012

https://www.biorxiv.org/content/biorxiv/early/2019/11/02/828681.full.pdf

https://pubmed.ncbi.nlm.nih.gov/33012331

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

MeSH Terms

Retinal Ganglion CellsHumansGlaucomaTomography, Optical CoherenceProspective StudiesPredictive Value of TestsIntraocular PressureVisual FieldsMiddle AgedFemaleMaleDeep Learning

Keywords

MaleRetinal Ganglion CellsGlaucomaMiddle AgedDeep LearningPredictive Value of TestsHumansFemaleProspective StudiesVisual FieldsIntraocular PressureTomography, Optical Coherence

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 16: 16. Peace & justice