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Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images
Current OCT devices provide three-dimensional (3D) in-vivo images of the human retina. The resulting very large data sets are difficult to manually assess. Automated segmentation is required to automatically process the data and produce images that are clinically useful and easy to interpret. In thi...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3114239/ https://ncbi.nlm.nih.gov/pubmed/21698034 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.2.001743 |
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