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Crowdsourcing airway annotations in chest computed tomography images
Measuring airways in chest computed tomography (CT) scans is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets of annotated scans for good performance. We investigate wheth...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8062042/ https://ncbi.nlm.nih.gov/pubmed/33886587 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0249580 |
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