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Automated identification of cone photoreceptors in adaptive optics optical coherence tomography images using transfer learning
Automated measurements of the human cone mosaic requires the identification of individual cone photoreceptors. The current gold standard, manual labeling, is a tedious process and can not be done in a clinically useful timeframe. As such, we present an automated algorithm for identifying cone photor...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6238943/ https://ncbi.nlm.nih.gov/pubmed/30460133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.005353 |
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