Deep Ensemble Learning for Retinal Image Classification

PURPOSE: Vision impairment affects 2.2 billion people worldwide, half of which is preventable with early detection and treatment. Currently, automatic screening of ocular pathologies using convolutional neural networks (CNNs) on retinal fundus photographs is limited to a few pathologies. Simultaneou...

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Detalles Bibliográficos
Autores principales: Ho, Edward, Wang, Edward, Youn, Saerom, Sivajohan, Asaanth, Lane, Kevin, Chun, Jin, Hutnik, Cindy M. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624270/
https://www.ncbi.nlm.nih.gov/pubmed/36306121
http://dx.doi.org/10.1167/tvst.11.10.39

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624270/
https://www.ncbi.nlm.nih.gov/pubmed/36306121
http://dx.doi.org/10.1167/tvst.11.10.39

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