Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network

PURPOSE: Adaptive optics imaging has enabled the visualization of photoreceptors both in health and disease. However, there remains a need for automated accurate cone photoreceptor identification in images of disease. Here, we apply an open-source convolutional neural network (CNN) to automatically...

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Detalles Bibliográficos
Autores principales: Morgan, Jessica I. W., Chen, Min, Huang, Andrew M., Jiang, Yu You, Cooper, Robert F.
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/PMC7424931/
https://www.ncbi.nlm.nih.gov/pubmed/32855844
http://dx.doi.org/10.1167/tvst.9.2.40

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424931/
https://www.ncbi.nlm.nih.gov/pubmed/32855844
http://dx.doi.org/10.1167/tvst.9.2.40

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