Test–Retest Reproducibility Analysis of Lung CT Image Features

Quantitative size, shape, and texture features derived from computed tomographic (CT) images may be useful as predictive, prognostic, or response biomarkers in non-small cell lung cancer (NSCLC). However, to be useful, such features must be reproducible, non-redundant, and have a large dynamic range...

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Detalhes bibliográficos
Publicado no:J Digit Imaging
Main Authors: Balagurunathan, Yoganand, Kumar, Virendra, Gu, Yuhua, Kim, Jongphil, Wang, Hua, Liu, Ying, Goldgof, Dmitry B., Hall, Lawrence O., Korn, Rene, Zhao, Binsheng, Schwartz, Lawrence H., Basu, Satrajit, Eschrich, Steven, Gatenby, Robert A., Gillies, Robert J.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer US 2014
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4391075/
https://ncbi.nlm.nih.gov/pubmed/24990346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-014-9716-x
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