Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic “feature” sets to characterize tumors, in general, the size, shape, texture, intensity, m...

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Foilsithe in:Tomography
Main Authors: Kalpathy-Cramer, Jayashree, Mamomov, Artem, Zhao, Binsheng, Lu, Lin, Cherezov, Dmitry, Napel, Sandy, Echegaray, Sebastian, Rubin, Daniel, McNitt-Gray, Michael, Lo, Pechin, Sieren, Jessica C., Uthoff, Johanna, Dilger, Samantha K. N., Driscoll, Brandan, Yeung, Ivan, Hadjiiski, Lubomir, Cha, Kenny, Balagurunathan, Yoganand, Gillies, Robert, Goldgof, Dmitry
Formáid: Artigo
Teanga:Inglês
Foilsithe: Grapho Publications, LLC 2016
Ábhair:
Research Articles
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5279995/
https://ncbi.nlm.nih.gov/pubmed/28149958
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2016.00235
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