Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning-Reference-Cited by-同舟云学术

Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning

Published:2023-10-13 Issue:10 Volume:12 Page:10
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Montesano Giovanni¹²,Lazaridis Georgios¹²³,Ometto Giovanni¹²,Crabb David P.¹,Garway-Heath David F.²

Affiliation:

1. City, University of London, Optometry and Visual Sciences, London, UK

2. NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK

3. Centre for Medical Image Computing, University College London, London, UK

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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4. A framework for comparing structural and functional measures of glaucomatous damage;Hood;Prog Retin Eye Res,2007

5. Influence of the retinal blood vessel topography on the variability of the retinal nerve fiber bundle trajectories in the human retina;Qiu;Invest Ophthalmol Vis Sci,2015

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