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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發表在: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
格式: Artigo
語言:Inglês
出版: Grapho Publications, LLC 2016
主題:
Research Articles
在線閱讀: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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