Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomography

Glaucoma, optic neuritis (ON), and non-arteritic anterior ischemic optic neuropathy (NAION) produce distinct patterns of retinal ganglion cell (RGC) damage. We propose a booster Variational Autoencoder (bVAE) to capture spatial variations in RGC loss and generate latent space (LS) montage maps that...

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Bibliographic Details

Published in:	Frontiers in ophthalmology Vol. 4; p. 1497848
Main Authors:	Wang, Jui-Kai, Johnson, Brett A., Chen, Zhi, Zhang, Honghai, Szanto, David, Woods, Brian, Wall, Michael, Kwon, Young H., Linton, Edward F., Pouw, Andrew, Kupersmith, Mark J., Garvin, Mona K., Kardon, Randy H.
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 03.02.2025
Subjects:	glaucoma non-arteritic anterior ischemic optic neuropathy (NAION) Ophthalmology optic neuritis (ON) optical coherence tomography (OCT) retinal ganglion cell (RGC) loss variational autoencoder (VAE) optic neuritis (ON) retinal ganglion cell (RGC) loss non-arteritic anterior ischemic optic neuropathy (NAION) variational autoencoder (VAE) glaucoma optical coherence tomography (OCT)
ISSN:	2674-0826, 2674-0826
Online Access:	Get full text
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