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Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT

The motivation is to introduce new shape features and optimize the classifier to improve performance of differentiating obstructive lung diseases, based on high-resolution computerized tomography (HRCT) images. Two hundred sixty-five HRCT images from 82 subjects were selected. On each image, two exp...

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Detalhes bibliográficos
Main Authors: Kim, Namkug, Seo, Joon Beom, Lee, Youngjoo, Lee, June Goo, Kim, Song Soo, Kang, Suk-Ho
Formato: Artigo
Idioma:Inglês
Publicado em: Springer-Verlag 2008
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3043677/
https://ncbi.nlm.nih.gov/pubmed/18712567
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-008-9147-7
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