Automated Photoreceptor Cell Identification on Nonconfocal Adaptive Optics Images Using Multiscale Circular Voting

PURPOSE: Adaptive optics scanning light ophthalmoscopy (AOSLO) has enabled quantification of the photoreceptor mosaic in the living human eye using metrics such as cell density and average spacing. These rely on the identification of individual cells. Here, we demonstrate a novel approach for comput...

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Detalles Bibliográficos
Autores principales: Liu, Jianfei, Jung, HaeWon, Dubra, Alfredo, Tam, Johnny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Multidisciplinary Ophthalmic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586244/
https://www.ncbi.nlm.nih.gov/pubmed/28873173
http://dx.doi.org/10.1167/iovs.16-21003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5586244/
https://www.ncbi.nlm.nih.gov/pubmed/28873173
http://dx.doi.org/10.1167/iovs.16-21003

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