Open AccessGeneralization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning
Author(s) -
Kevin T. Chen,
M Schürer,
Jiahong Ouyang,
Mary Ellen I. Koran,
Guido Davidzon,
Elizabeth C. Mormino,
Solveig Tiepolt,
KarlTitus Hoffmann,
Osama Sabri,
Greg Zaharchuk,
Henryk Barthel
Publication year - 2020
Publication title -
european journal of nuclear medicine and molecular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.313
H-Index - 163
eISSN - 1619-7089
pISSN - 1619-7070
DOI - 10.1007/s00259-020-04897-6
Subject(s) - nuclear medicine , deep learning , artificial intelligence , undersampling , voxel , magnetic resonance imaging , transfer of learning , pattern recognition (psychology) , computer science , medicine , radiology
We aimed to evaluate the performance of deep learning-based generalization of ultra-low-count amyloid PET/MRI enhancement when applied to studies acquired with different scanning hardware and protocols.