Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes-Reference-Cited by-同舟云学术

Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes

Published:2022-04 Issue: Volume:236 Page:298-308
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Bowd Christopher^ORCID,Belghith Akram,Zangwill Linda M.^ORCID,Christopher Mark^ORCID,Goldbaum Michael H.,Fan Rui,Rezapour Jasmin^ORCID,Moghimi Sasan,Kamalipour Alireza,Hou Huiyuan,Weinreb Robert N.^ORCID

Publisher

Elsevier BV

Subject

Ophthalmology

Reference72 articles.

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2. Reproducibility of optical coherence tomography angiography macular and optic nerve head vascular density in glaucoma and healthy eyes;Manalastas;J Glaucoma,2017

3. Intrasession and between-visit variability of sector peripapillary angioflow vessel density values measured with the angiovue optical coherence tomograph in different retinal layers in ocular hypertension and glaucoma;Hollo;PLoS One,2016

4. Optical coherence tomography angiography of the superficial microvasculature in the macular and peripapillary areas in glaucomatous and healthy eyes;Chen;Invest Ophthalmol Vis Sci,2017

5. Peripapillary perfused capillary density in primary open-angle glaucoma across disease stage: an optical coherence tomography angiography study;Geyman;Br J Ophthalmol,2017

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