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Automated Texture-based Quantification of Centrilobular Nodularity and Centrilobular Emphysema in Chest CT Images
RATIONALE AND OBJECTIVES: Characterization of smoking-related lung disease typically consists of visual assessment of chest computed tomographic (CT) images for the presence and extent of emphysema and centrilobular nodularity (CN). Quantitative analysis of emphysema and CN may improve the accuracy,...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
2012
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3679917/ https://ncbi.nlm.nih.gov/pubmed/22958719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2012.04.020 |
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