Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning

PURPOSE: Standard automated perimetry is the gold standard to monitor visual field (VF) loss in glaucoma management, but it is prone to intrasubject variability. We trained and validated a customized deep learning (DL) regression model with Xception backbone that estimates pointwise and overall VF s...

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Detalles Bibliográficos
Autores principales: Hemelings, Ruben, Elen, Bart, Barbosa-Breda, João, Bellon, Erwin, Blaschko, Matthew B., De Boever, Patrick, Stalmans, Ingeborg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424967/
https://www.ncbi.nlm.nih.gov/pubmed/35998059
http://dx.doi.org/10.1167/tvst.11.8.22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424967/
https://www.ncbi.nlm.nih.gov/pubmed/35998059
http://dx.doi.org/10.1167/tvst.11.8.22

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