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...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב: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
פורמט: Artigo
שפה:Inglês
יצא לאור: Grapho Publications, LLC 2016
נושאים:
Research Articles
גישה מקוונת: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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