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Article: A Case for the Use of Artificial Intelligence in Glaucoma Assessment

TitleA Case for the Use of Artificial Intelligence in Glaucoma Assessment
Authors
Leung, KSSchuman, JSLos Angeles Ramos Cadena, MDMcGee, RAl-Aswad, LAMedeiros, FACollaborative Community on Ophthalmic Imaging Executive Committee and Glaucoma Workgroup, -
Issue Date2021
Citation
Ophthalmology Glaucoma, 2021, v. 5, p. 11 How to Cite?
DOI: http://dx.doi.org/10.1016/j.ogla.2021.12.003
Persistent Identifierhttp://hdl.handle.net/10722/316846
ISI Accession Number ID
WOS:000832710700001

 

DC FieldValueLanguage
dc.contributor.authorLeung, KS-
dc.contributor.authorSchuman, JS-
dc.contributor.authorLos Angeles Ramos Cadena, MD-
dc.contributor.authorMcGee, R-
dc.contributor.authorAl-Aswad, LA-
dc.contributor.authorMedeiros, FA-
dc.contributor.authorCollaborative Community on Ophthalmic Imaging Executive Committee and Glaucoma Workgroup, --
dc.date.accessioned2022-09-16T07:24:23Z-
dc.date.available2022-09-16T07:24:23Z-
dc.date.issued2021-
dc.identifier.citationOphthalmology Glaucoma, 2021, v. 5, p. 11-
dc.identifier.urihttp://hdl.handle.net/10722/316846-
dc.languageeng-
dc.relation.ispartofOphthalmology Glaucoma-
dc.titleA Case for the Use of Artificial Intelligence in Glaucoma Assessment-
dc.typeArticle-
dc.identifier.emailLeung, KS: cleung21@hku.hk-
dc.identifier.authorityLeung, KS=rp02798-
dc.identifier.doi10.1016/j.ogla.2021.12.003-
dc.identifier.hkuros336393-
dc.identifier.volume5-
dc.identifier.spage11-
dc.identifier.epage11-
dc.identifier.isiWOS:000832710700001-

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