Machine Learning OCT Predictors of Progression from Intermediate Age-Related Macular Degeneration to Geographic Atrophy and Vision Loss

PURPOSE: To describe spectral-domain OCT (SD-OCT) features, age, gender, and systemic variables that may be used in machine/deep learning studies to identify high-risk patient subpopulations with high risk of progression to geographic atrophy (GA) and visual acuity (VA) loss in the short term. DESIG...

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Detalles Bibliográficos
Autores principales: Lad, Eleonora M., Sleiman, Karim, Banks, David L., Hariharan, Sanjay, Clemons, Traci, Herrmann, Rolf, Dauletbekov, Daniyar, Giani, Andrea, Chong, Victor, Chew, Emily Y., Toth, Cynthia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161427/
https://www.ncbi.nlm.nih.gov/pubmed/35662803
http://dx.doi.org/10.1016/j.xops.2022.100160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161427/
https://www.ncbi.nlm.nih.gov/pubmed/35662803
http://dx.doi.org/10.1016/j.xops.2022.100160

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