Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning

Author:

Hemelings Ruben12,Elen Bart2,Barbosa-Breda João134,Bellon Erwin5,Blaschko Matthew B.6,De Boever Patrick278,Stalmans Ingeborg19

Affiliation:

1. Research Group Ophthalmology, Department of Neurosciences, KU Leuven, Leuven, Belgium

2. Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium

3. Cardiovascular R&D Center – UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal

4. Department of Ophthalmology, Centro Hospitalar e Universitário São João, Porto, Portugal

5. Department of Information Technology, University Hospitals Leuven, Leuven, Belgium

6. ESAT-PSI, KU Leuven, Leuven, Belgium

7. Center for Environmental Sciences, Faculty of Industrial Engineering, Hasselt University, Diepenbeek, Belgium

8. Department of Biology, University of Antwerp, Wilrijk, Belgium

9. Ophthalmology Department, UZ Leuven, Leuven, Belgium

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference47 articles.

1. Primary Open-Angle Glaucoma Preferred Practice Pattern Guidelines;Prum;Ophthalmology,2016

2. European Glaucoma Society. European Glaucoma Society Terminology and Guidelines for Glaucoma, 4th Edition—Part 1;Br J Ophthalmol,2017

3. Properties of perimetric threshold estimates from full threshold, SITA standard, and SITA fast strategies;Artes;Invest Ophthalmol Vis Sci,2002

4. Assessment of the reliability of standard automated perimetry in regions of glaucomatous damage;Gardiner;Ophthalmology,2014

5. Evaluation of the retinal nerve fiber layer thickness, the mean deviation, and the visual field index in progressive glaucoma;Banegas;J Glaucoma,2016

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