Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning

PURPOSE: To apply a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to a large real-world dataset of eyes with neovascular age-related macular degeneration (AMD) and make the raw segmentation output data openly available for further research. DESIGN: R...

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Detalles Bibliográficos
Autores principales: Moraes, Gabriella, Fu, Dun Jack, Wilson, Marc, Khalid, Hagar, Wagner, Siegfried K., Korot, Edward, Ferraz, Daniel, Faes, Livia, Kelly, Christopher J., Spitz, Terry, Patel, Praveen J., Balaskas, Konstantinos, Keenan, Tiarnan D.L., Keane, Pearse A., Chopra, Reena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528155/
https://www.ncbi.nlm.nih.gov/pubmed/32980396
http://dx.doi.org/10.1016/j.ophtha.2020.09.025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528155/
https://www.ncbi.nlm.nih.gov/pubmed/32980396
http://dx.doi.org/10.1016/j.ophtha.2020.09.025

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