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Active Relearning for Robust Supervised Training of Emphysema Patterns
Radiologists are adept at recognizing the character and extent of lung parenchymal abnormalities in computed tomography (CT) scans. However, the inconsistent differential diagnosis due to subjective aggregation necessitates the exploration of automated classification based on supervised or unsupervi...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4090407/ https://ncbi.nlm.nih.gov/pubmed/24771303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-014-9686-z |
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