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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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| Publicado no: | Invest Ophthalmol Vis Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5586244/ https://ncbi.nlm.nih.gov/pubmed/28873173 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.16-21003 |
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