Neural networks to identify multiple sclerosis with optical coherence tomography-Reference-Cited by-同舟云学术

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Neural networks to identify multiple sclerosis with optical coherence tomography

Published:2013-05-07 Issue:8 Volume:91 Page:e628-e634
ISSN:1755-375X
Container-title:Acta Ophthalmologica
language:en
Short-container-title:

Author:

Garcia-Martin Elena,Pablo Luis E.,Herrero Raquel,Ara Jose R.,Martin Jesus,Larrosa Jose M.,Polo Vicente,Garcia-Feijoo Julian,Fernandez Javier

Publisher

Wiley

Subject

Ophthalmology,General Medicine

Reference17 articles.

1. The physiological variation of the retinal nerve fibre layer thickness and macular volume in humans as assessed by spectral-domain optical coherence tomography;Balk;Invest Ophthalmol Vis Sci,2012

2. Automatic detection of glaucomatous visual field progression with neural networks;Brigatti;Arch Ophthalmol,1997

3. Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study;Burgansky-Eliash;Invest Ophthalmol Vis Sci,2005

4. Recent advances in optic neuritis related to multiple sclerosis;Chan;Acta Ophthalmol,2012

5. Longitudinal Study of Cataract Study Group. The Lens Opacities Classification System III;Chylack;Arch Ophthalmol,1993

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