Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice-Reference-Cited by-同舟云学术

Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice

Published:2020-11-12 Issue:2 Volume:9 Page:55
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Mursch-Edlmayr Anna S.¹,Ng Wai Siene²,Diniz-Filho Alberto³,Sousa David C.⁴,Arnould Louis⁵,Schlenker Matthew B.⁶,Duenas-Angeles Karla⁷,Keane Pearse A.⁸,Crowston Jonathan G.⁹¹⁰,Jayaram Hari⁸

Affiliation:

1. Department of Ophthalmology Johannes Kepler University, Linz, Austria

2. Cardiff Eye Unit, University Hospital of Wales, Cardiff, UK

3. Department of Ophthalmology and Otorhinolaryngology, Federal University of Minas Gerais, Belo Horizonte, Brazil

4. Department of Ophthalmology, Hospital de Santa Maria, Lisbon, Portugal

5. Department of Ophthalmology, University Hospital, Dijon, France

6. Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada

7. Department of Ophthalmology, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico

8. NIHR Biomedical Research Centre for Ophthalmology, UCL Institute of Ophthalmology & Moorfields Eye Hospital, London, UK

9. Centre for Vision Research, Duke-NUS Medical School, Singapore

10. Singapore Eye Research Institute, Singapore National Eye Centre, Singapore

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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