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.

Bibliographic Details
Main Authors: Ahmad, NA (Author), Ali, ZC (Author), Aslam, TM (Author), Balaskas, K (Author), Mahmood, S (Author), Thorell, MR (Author), Zaki, HR (Author)
Format: Article
Language:English
Published: 2018
Subjects:
CHOROIDAL NEOVASCULARIZATION
EYES
FIBROSIS
FLUID
MORPHOLOGY
RANIBIZUMAB
REPEATABILITY
VISUAL-ACUITY
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