Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features
Kalpathy-Cramer, J.; Mamomov, A.; Zhao, B.; Lu, L.; Cherezov, D.; Napel, S.; Echegaray, S.; Rubin, D.; McNitt-Gray, M.; Lo, P.; Sieren, J.C.; Uthoff, J.; Dilger, S.K.N.; Driscoll, B.; Yeung, I.; Hadjiiski, L.; Cha, K.; Balagurunathan, Y.; Gillies, R.; Goldgof, D. Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography 2016, 2, 430-437. https://doi.org/10.18383/j.tom.2016.00235
Kalpathy-Cramer J, Mamomov A, Zhao B, Lu L, Cherezov D, Napel S, Echegaray S, Rubin D, McNitt-Gray M, Lo P, Sieren JC, Uthoff J, Dilger SKN, Driscoll B, Yeung I, Hadjiiski L, Cha K, Balagurunathan Y, Gillies R, Goldgof D. Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography. 2016; 2(4):430-437. https://doi.org/10.18383/j.tom.2016.00235
Chicago/Turabian StyleKalpathy-Cramer, Jayashree, Artem Mamomov, Binsheng Zhao, Lin Lu, Dmitry Cherezov, Sandy Napel, Sebastian Echegaray, Daniel Rubin, Michael McNitt-Gray, Pechin Lo, Jessica C. Sieren, Johanna Uthoff, Samantha K. N. Dilger, Brandan Driscoll, Ivan Yeung, Lubomir Hadjiiski, Kenny Cha, Yoganand Balagurunathan, Robert Gillies, and Dmitry Goldgof. 2016. "Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features" Tomography 2, no. 4: 430-437. https://doi.org/10.18383/j.tom.2016.00235