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Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography
We propose a novel suite of algorithms for automatically segmenting the airway lumen and mucus in endobronchial optical coherence tomography (OCT) data sets, as well as a novel approach for quantifying the contents of the mucus. Mucus and lumen were segmented using a robust, multi-stage algorithm th...
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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
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654813/ https://ncbi.nlm.nih.gov/pubmed/29082098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.004729 |
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