Open AccessNIMG-60. AUTOMATIC DETECTION OF HIGH AMINO ACID UPTAKE REGIONS IN GLIOBLASTOMA FROM MULTI-MODAL MRI: A FULL 3D U-NET STUDY OF DEEPLY LEARNED PET DATA
Author(s) -
JeongWon Jeong,
MinHee Lee,
Flóra John,
Natasha Robinette,
Alit AmitYousif,
Geoffrey R. Barger,
Keval Shah,
Sandeep Mittal,
Csaba Juhász
Publication year - 2018
Publication title -
neuro-oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.005
H-Index - 125
eISSN - 1523-5866
pISSN - 1522-8517
DOI - 10.1093/neuonc/noy148.785
Subject(s) - artificial intelligence , ground truth , fluid attenuated inversion recovery , nuclear medicine , glioblastoma , computer science , effective diffusion coefficient , pattern recognition (psychology) , magnetic resonance imaging , physics , medicine , cancer research , radiology
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom