Automation of Macular Degeneration Classification in the AREDS Dataset, Using a Novel Neural Network Design

PURPOSE: To create an ensemble of Convolutional Neural Networks (CNNs), capable of detecting and stratifying the risk of progressive age-related macular degeneration (AMD) from retinal photographs. DESIGN: Retrospective cohort study. METHODS: Three individual CNNs are trained to accurately detect 1)...

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Detalles Bibliográficos
Autores principales: Xie, Li, Vaghefi, Ehsan, Yang, Song, Han, David, Marshall, John, Squirrell, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901462/
https://www.ncbi.nlm.nih.gov/pubmed/36755888
http://dx.doi.org/10.2147/OPTH.S396537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901462/
https://www.ncbi.nlm.nih.gov/pubmed/36755888
http://dx.doi.org/10.2147/OPTH.S396537

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