Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest

PURPOSE: To compare change over time in eye-specific optical coherence tomography (OCT) retinal nerve fiber layer (RNFL)-based region-of-interest (ROI) maps developed using unsupervised deep-learning auto-encoders (DL-AE) to circumpapillary RNFL (cpRNFL) thickness for the detection of glaucomatous p...

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Detalles Bibliográficos
Autores principales: Bowd, Christopher, Belghith, Akram, Christopher, Mark, Goldbaum, Michael H., Fazio, Massimo A., Girkin, Christopher A., Liebmann, Jeffrey M., de Moraes, Carlos Gustavo, Weinreb, Robert N., Zangwill, Linda M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300051/
https://www.ncbi.nlm.nih.gov/pubmed/34293095
http://dx.doi.org/10.1167/tvst.10.8.19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300051/
https://www.ncbi.nlm.nih.gov/pubmed/34293095
http://dx.doi.org/10.1167/tvst.10.8.19

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