Estimating the Severity of Visual Field Damage From Retinal Nerve Fiber Layer Thickness Measurements With Artificial Intelligence

PURPOSE: The purpose of this study was to assess the accuracy of artificial neural networks (ANN) in estimating the severity of mean deviation (MD) from peripapillary retinal nerve fiber layer (RNFL) thickness measurements derived from optical coherence tomography (OCT). METHODS: Models were trained...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Xiaoqin, Sun, Jian, Majoor, Juleke, Vermeer, Koenraad Arndt, Lemij, Hans, Elze, Tobias, Wang, Mengyu, Boland, Michael Vincent, Pasquale, Louis Robert, Mohammadzadeh, Vahid, Nouri-Mahdavi, Kouros, Johnson, Chris, Yousefi, Siamak
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/PMC8375007/
https://www.ncbi.nlm.nih.gov/pubmed/34398225
http://dx.doi.org/10.1167/tvst.10.9.16

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375007/
https://www.ncbi.nlm.nih.gov/pubmed/34398225
http://dx.doi.org/10.1167/tvst.10.9.16

Ejemplares similares