Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier-Reference-Cited by-同舟云学术

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Detecting Preperimetric Glaucoma with Standard Automated Perimetry Using a Deep Learning Classifier

Published:2016-09 Issue:9 Volume:123 Page:1974-1980
ISSN:0161-6420
Container-title:Ophthalmology
language:en
Short-container-title:Ophthalmology

Author:

Asaoka Ryo,Murata Hiroshi,Iwase Aiko^ORCID,Araie Makoto

Publisher

Elsevier BV

Subject

Ophthalmology

Reference47 articles.

1. Automated Static Perimetry;Anderson,1999

2. Can frequency-doubling technology and short-wavelength automated perimetries detect visual field defects before standard automated perimetry in patients with preperimetric glaucoma?;Ferreras;J Glaucoma,2007

3. Interpretation of the Humphrey Matrix 24-2 test in the diagnosis of preperimetric glaucoma;Choi;Jpn J Ophthalmol,2009

4. Frequency-doubling technology and retinal measurements with spectral-domain optical coherence tomography in preperimetric glaucoma;Hirashima;Graefes Arch Clin Exp Ophthalmol,2013

5. Diagnostic ability of spectral-domain versus time-domain optical coherence tomography in preperimetric glaucoma;Jeoung;J Glaucoma,2014

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