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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Detalles Bibliográficos
Publicado en: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
Formato: Artigo
Idioma:Inglês
Publicado: Grapho Publications, LLC 2016
Assuntos:
Research Articles
Acceso en liña: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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