Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning

PURPOSE: To investigate whether predictions of retinal nerve fiber layer (RNFL) thickness obtained from a deep learning model applied to fundus photographs can detect progressive glaucomatous changes over time. DESIGN: Retrospective cohort study. PARTICIPANTS: Eighty-six thousand one hundred twenty-...

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Detalles Bibliográficos
Autores principales: Medeiros, Felipe A., Jammal, Alessandro A., Mariottoni, Eduardo B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: by the American Academy of Ophthalmology 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386268/
https://www.ncbi.nlm.nih.gov/pubmed/32735906
http://dx.doi.org/10.1016/j.ophtha.2020.07.045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386268/
https://www.ncbi.nlm.nih.gov/pubmed/32735906
http://dx.doi.org/10.1016/j.ophtha.2020.07.045

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