An Artificial Intelligence Approach to Assess Spatial Patterns of Retinal Nerve Fiber Layer Thickness Maps in Glaucoma

PURPOSE: The purpose of this study was to classify the spatial patterns of retinal nerve fiber layer thickness (RNFLT) and assess their associations with visual field (VF) loss in glaucoma. METHODS: We used paired reliable 24-2 VFs and optical coherence tomography scans of 691 eyes from 691 patients...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Mengyu, Shen, Lucy Q., Pasquale, Louis R., Wang, Hui, Li, Dian, Choi, Eun Young, Yousefi, Siamak, Bex, Peter J., Elze, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453051/
https://www.ncbi.nlm.nih.gov/pubmed/32908804
http://dx.doi.org/10.1167/tvst.9.9.41

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453051/
https://www.ncbi.nlm.nih.gov/pubmed/32908804
http://dx.doi.org/10.1167/tvst.9.9.41

Ejemplares similares