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Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks
PURPOSE: To develop a fully automatic method, based on deep learning algorithms, for determining the locations of cone photoreceptors within adaptive optics scanning laser ophthalmoscope images and evaluate its performance against a dataset of manually segmented images. METHODS: A fully convolutiona...
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| Publicado no: | Transl Vis Sci Technol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6855369/ https://ncbi.nlm.nih.gov/pubmed/31737434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.8.6.10 |
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