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,
Elmo Xuyun 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
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