Predicting Age From Optical Coherence Tomography Scans With Deep Learning

PURPOSE: To assess whether age can be predicted from deep learning analysis of peripapillary spectral-domain optical coherence tomography (SD-OCT) B-scans and to determine the importance of specific retinal areas on the predictions. METHODS: Deep learning (DL) convolutional neural networks were deve...

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Detalles Bibliográficos
Autores principales: Shigueoka, Leonardo S., Mariottoni, Eduardo B., Thompson, Atalie C., Jammal, Alessandro A., Costa, Vital P., Medeiros, Felipe A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804495/
https://www.ncbi.nlm.nih.gov/pubmed/33510951
http://dx.doi.org/10.1167/tvst.10.1.12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804495/
https://www.ncbi.nlm.nih.gov/pubmed/33510951
http://dx.doi.org/10.1167/tvst.10.1.12

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