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

Autor: Jayashree Kalpathy-Cramer, Lubomir M. Hadjiiski, Jessica C. Sieren, Sandy Napel, Johanna Uthoff, Brandon Driscoll, Dmitry B. Goldgof, Sebastian Echegaray, Yoganand Balagurunathan, Pechin Lo, Artem Mamomov, Robert J. Gillies, Samantha K. N. Dilger, Binsheng Zhao, Dmitry Cherezov, Michael F. McNitt-Gray, Kenny H. Cha, Lin Lu, Ivan Yeung, Daniel L. Rubin

Publikováno v: Tomography : a journal for imaging research
Tomography
Volume 2
Issue 4
Pages 430-437
Tomography (Ann Arbor, Mich.), vol 2, iss 4
Tomography; Volume 2; Issue 4; Pages: 430-437

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 tumo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c09fe2ac136ba0c643a4c8cd914e6eff
http://europepmc.org/articles/PMC5279995