Review ArticleAdult Brain
Open Access
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
M. Zhou, J. Scott, B. Chaudhury, L. Hall, D. Goldgof, K.W. Yeom, M. Iv, Y. Ou, J. Kalpathy-Cramer, S. Napel, R. Gillies, O. Gevaert and R. Gatenby
American Journal of Neuroradiology February 2018, 39 (2) 208-216; DOI: https://doi.org/10.3174/ajnr.A5391
M. Zhou
aFrom the Stanford Center for Biomedical Informatic Research (M.Z., O.G.)
J. Scott
cDepartment of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida
B. Chaudhury
cDepartment of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida
L. Hall
dDepartment of Computer Science and Engineering (L.H., D.G.), University of South Florida, Tampa, Florida
D. Goldgof
dDepartment of Computer Science and Engineering (L.H., D.G.), University of South Florida, Tampa, Florida
K.W. Yeom
bDepartment of Radiology (K.W.Y., M.I.), Stanford University, Stanford, California
M. Iv
bDepartment of Radiology (K.W.Y., M.I.), Stanford University, Stanford, California
Y. Ou
eDepartment of Radiology (Y.O., J.K.-C.), Massachusetts General Hospital, Boston, Massachusetts.
J. Kalpathy-Cramer
eDepartment of Radiology (Y.O., J.K.-C.), Massachusetts General Hospital, Boston, Massachusetts.
S. Napel
cDepartment of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida
R. Gillies
cDepartment of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida
O. Gevaert
aFrom the Stanford Center for Biomedical Informatic Research (M.Z., O.G.)
R. Gatenby
cDepartment of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida

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In this issue
American Journal of Neuroradiology
Vol. 39, Issue 2
1 Feb 2018
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M. Zhou, J. Scott, B. Chaudhury, L. Hall, D. Goldgof, K.W. Yeom, M. Iv, Y. Ou, J. Kalpathy-Cramer, S. Napel, R. Gillies, O. Gevaert, R. Gatenby
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
American Journal of Neuroradiology Feb 2018, 39 (2) 208-216; DOI: 10.3174/ajnr.A5391
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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
M. Zhou, J. Scott, B. Chaudhury, L. Hall, D. Goldgof, K.W. Yeom, M. Iv, Y. Ou, J. Kalpathy-Cramer, S. Napel, R. Gillies, O. Gevaert, R. Gatenby
American Journal of Neuroradiology Feb 2018, 39 (2) 208-216; DOI: 10.3174/ajnr.A5391
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