Artificial Intelligence Mapping of Structure to Function in Glaucoma

PURPOSE: To develop an artificial intelligence (AI)–based structure-function (SF) map relating retinal nerve fiber layer (RNFL) damage on spectral domain optical coherence tomography (SDOCT) to functional loss on standard automated perimetry (SAP). METHODS: The study included 26,499 pairs of SAP and...

Descripción completa

Detalles Bibliográficos
Autores principales: Mariottoni, Eduardo B., Datta, Shounak, Dov, David, Jammal, Alessandro A., Berchuck, Samuel I., Tavares, Ivan M., Carin, Lawrence, Medeiros, Felipe A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395675/
https://www.ncbi.nlm.nih.gov/pubmed/32818080
http://dx.doi.org/10.1167/tvst.9.2.19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395675/
https://www.ncbi.nlm.nih.gov/pubmed/32818080
http://dx.doi.org/10.1167/tvst.9.2.19

Ejemplares similares