Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study-Reference-Cited by-同舟云学术

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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study

Published:2019-07-02 Issue:11 Volume:33 Page:1791-1797
ISSN:0950-222X
Container-title:Eye
language:en
Short-container-title:Eye

Author:

Rogers Thomas W.,Jaccard Nicolas,Carbonaro Francis,Lemij Hans G.,Vermeer Koenraad A.,Reus Nicolaas J.,Trikha Sameer

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Link

http://www.nature.com/articles/s41433-019-0510-3.pdf

Reference20 articles.

1. Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol 2006;90:262–7.

2. Reus NJ, Lemij HG, Garway-Heath DF, Airaksinen PJ, Anton A, Bron AM, et al. Clinical assessment of stereoscopic optic disc photographs for glaucoma: the European Optic Disc Assessment Trial. Ophthalmology. 2010;117:717–23.

3. Chan HH, Ong DN, Kong YX, O’Neill EC, Pandav SS, Coote MA, et al. Glaucomatous optic neuropathy evaluation (GONE) project: the effect of monoscopic versus stereoscopic viewing conditions on optic nerve evaluation. Am J Ophthalmol. 2014;157:936–44.

4. Grigera DE, Mello PA, Barbosa WL, Casiraghi JF, Grossmann RP, Peyret A. Level of agreement among Latin American glaucoma subspecialists on the diagnosis and treatment of glaucoma: results of an online survey. Arq Bras Oftalmol. 2013;76:163–9.

5. Batterbury M. Agreement between ophthalmologists and optometrists in optic disc assessment: training implications for glaucoma co-management. Graefes Arch Clin Exp Ophthalmol. 2001;239:342–59.

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