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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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書誌詳細
主要な著者: Ginsburg, Shoshana B., Lynch, David A., Bowler, Russell P., Schroeder, Joyce D.
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス: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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