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Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

Artificial intelligence (AI)-based automated classification and segmentation of optical coherence tomography (OCT) features have become increasingly popular. However, its 3-dimensional volumetric nature has made developing an algorithm that generalizes across all patient populations and OCT devices...

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Detalles Bibliográficos
Autores principales:	Yanagihara, Ryan T., Lee, Cecilia S., Ting, Daniel Shu Wei, Lee, Aaron Y.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Association for Research in Vision and Ophthalmology 2020
Materias:	Special Issue
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347025/ https://www.ncbi.nlm.nih.gov/pubmed/32704417 http://dx.doi.org/10.1167/tvst.9.2.11

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