Suspect glaucoma detection from corneal densitometry supported by machine learning-Reference-Cited by-同舟云学术

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Suspect glaucoma detection from corneal densitometry supported by machine learning

Published:2022 Issue: Volume:15 Page:S12-S21
ISSN:1888-4296
Container-title:Journal of Optometry
language:en
Short-container-title:Journal of Optometry

Author:

García-Jiménez Andrés,Consejo Alejandra^ORCID

Funder

Politechnika Wrocławska

Publisher

Elsevier BV

Subject

Optometry

Reference23 articles.

1. The Epidemiology of Glaucoma. Glaucoma;Giangiacomo,2009

2. Glaucoma history and risk factors;McMonnies;J Optom,2017

3. On the protective role of the blood vessels in glaucomatous damage: a transversal study;Cánovas-Serrano;J Optom,2021

4. Central corneal thickness and progression of the visual field and optic disc in glaucoma;Chauhan;Br J Ophthalmol,2005

5. Central corneal thickness as a risk factor for advanced glaucoma damage;Herndon;Arch Ophthal,2004

Cited by 3 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. The comparison of corneal densitometry in cases with glaucoma following childhood cataract surgery and juvenile glaucoma;International Ophthalmology;2024-02-12

2. Relationship between corneal tissue and shape in short‐term soft contact lens wear;Ophthalmic and Physiological Optics;2023-08-08

3. Journal of Optometry Impact Factor: it's been a long way to here;Journal of Optometry;2023-01

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