Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration

Use of a Neural Net to Model the Impact of Optical Coherence Tomography Abnormalities on Vision in Age-related Macular Degeneration

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Purpose To develop a neural network for the estimation of visual acuity from optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD) and to demonstrate its use to model the impact of specific controlled OCT changes on vision. Design Artificial in...

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Bibliographic Details
Main Authors: Ahmad, N.A (Author), Ali, Z.C (Author), Aslam, T.M (Author), Balaskas, K. (Author), Mahmood, S. (Author), Thorell, M.R (Author), Zaki, H.R (Author)
Format: Article
Language:English
Published: Elsevier Inc. 2018
Subjects:
age
aged
Aged
Article
artificial intelligence
artificial neural network
B scan
choroidal thickness
clinical article
clinical feature
diagnostic imaging
external limiting membrane integrity
eye fundus
female
Female
Fluorescein Angiography
fluorescence angiography
Fundus Oculi
human
Humans
Macula Lutea
male
Male
middle aged
Middle Aged
nerve cell
Neural Networks (Computer)
optical coherence tomography
pathophysiology
physiology
predictive value
priority journal
procedures
reproducibility
Reproducibility of Results
retina macula lutea
retinal thickness
Retrospective Studies
retrospective study
subretinal fluid
Tomography, Optical Coherence
visual acuity
Visual Acuity
visual disorder
wet macular degeneration
Wet Macular Degeneration
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