
Abstract 1939: Non-invasive prediction of glioma tumor stemness using multimodal MRI
Author(s) -
Esmaeil DavoodiBojd,
Tathiane M. Malta,
Brent Griffith,
James M. Snyder,
Tobias Walbert,
Houtan Noushmehr,
Hamid SoltanianZadeh
Publication year - 2019
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2019-1939
Subject(s) - fluid attenuated inversion recovery , glioma , akaike information criterion , magnetic resonance imaging , medicine , neuroimaging , artificial intelligence , computer science , radiology , machine learning , cancer research , psychiatry