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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Publicado en:	Journal of Digital Imaging Vol. 27; no. 6; pp. 805 - 824
Autores principales:	Balagurunathan, Yoganand, Kumar, Virendra, Gu, Yuhua, Kim, Jongphil, Wang, Hua, Liu, Ying, Goldgof, Dmitry, Hall, Lawrence, Korn, Rene, Zhao, Binsheng, Schwartz, Lawrence, Basu, Satrajit, Eschrich, Steven, Gatenby, Robert, Gillies, Robert
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Dec2014
Acceso en línea:	Ver este registro en EBSCOhost