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Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks
Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct visualization of the cone photoreceptor mosaic in the living human retina. Quantitative analysis of AOSLO images typically requires manual grading, which is time consuming, and subjective; thus, automated algorithms...
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| Опубликовано в: : | Sci Rep |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5529414/ https://ncbi.nlm.nih.gov/pubmed/28747737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-07103-0 |
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