Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans-Reference-Cited by-同舟云学术

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Progression or Aging? A Deep Learning Approach for Distinguishing Glaucoma Progression From Age-Related Changes in OCT Scans

Published:2024-10 Issue: Volume:266 Page:46-55
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Mandal Sayan^ORCID,Jammal Alessandro A.^ORCID,Malek Davina,Medeiros Felipe A.

Funder

National Institutes of Health

National Eye Institute

Publisher

Elsevier BV

Reference38 articles.

1. The pathophysiology and treatment of glaucoma: a review;Weinreb;JAMA,2014

2. Global estimates of visual impairment: 2010;Pascolini;Br J Ophthalmol,2012

3. A review of deep learning for screening, diagnosis, and detection of glaucoma progression;Thompson;Transl Vis Sci Technol,2020

4. Measuring visual field progression in the Early Manifest Glaucoma Trial;Heijl;Acta Ophthalmol Scand,2003

5. OCT for glaucoma diagnosis, screening and detection of glaucoma progression;Bussel;Br J Ophthalmol,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big data for imaging assessment in glaucoma;Taiwan Journal of Ophthalmology;2024-07

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