Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

PURPOSE: To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source optical coherence tomography (SS-OCT) and OCT-angio...

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Detalles Bibliográficos
Autores principales: Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843217/
https://www.ncbi.nlm.nih.gov/pubmed/35157713
http://dx.doi.org/10.1371/journal.pone.0262111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843217/
https://www.ncbi.nlm.nih.gov/pubmed/35157713
http://dx.doi.org/10.1371/journal.pone.0262111

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