
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Author(s) -
H. Li,
Y. Zhu,
E.S. Burnside,
E. Huang,
K. Drukker,
Katherine A. Hoadley,
Cheng Fan,
S.D. Conzen,
M. Zuley,
J.M. Net,
E. Sutton,
G.J. Whitman,
E. Morris,
Charles M. Perou,
Y. Ji,
M.L. Giger
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/9h8j-c478
Subject(s) - radiomics , breast cancer , set (abstract data type) , data set , biology , computational biology , oncology , medicine , cancer , computer science , artificial intelligence , programming language