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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...
Enregistré dans:
| Publié dans: | Sci Rep |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2017
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| Sujets: | |
| Accès en ligne: | 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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