Exploring Healthy Retinal Aging with Deep Learning

PURPOSE: To study the individual course of retinal changes caused by healthy aging using deep learning. DESIGN: Retrospective analysis of a large data set of retinal OCT images. PARTICIPANTS: A total of 85 709 adults between the age of 40 and 75 years of whom OCT images were acquired in the scope of...

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Detalles Bibliográficos
Autores principales: Menten, Martin J., Holland, Robbie, Leingang, Oliver, Bogunović, Hrvoje, Hagag, Ahmed M., Kaye, Rebecca, Riedl, Sophie, Traber, Ghislaine L., Hassan, Osama N., Pawlowski, Nick, Glocker, Ben, Fritsche, Lars G., Scholl, Hendrik P.N., Sivaprasad, Sobha, Schmidt-Erfurth, Ursula, Rueckert, Daniel, Lotery, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127123/
https://www.ncbi.nlm.nih.gov/pubmed/37113474
http://dx.doi.org/10.1016/j.xops.2023.100294

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127123/
https://www.ncbi.nlm.nih.gov/pubmed/37113474
http://dx.doi.org/10.1016/j.xops.2023.100294

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