Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning | Zendy

Kevin T. Chen | Zendy; M Schürer | Zendy; Jiahong Ouyang | Zendy; Mary Ellen I. Koran | Zendy; Guido Davidzon | Zendy; Elizabeth C. Mormino | Zendy; Solveig Tiepolt | Zendy; KarlTitus Hoffmann | Zendy; Osama Sabri | Zendy; Greg Zaharchuk | Zendy; Henryk Barthel | Zendy

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Generalization 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 , undersampling , artificial intelligence , voxel , magnetic resonance imaging , pattern recognition (psychology) , transfer of learning , computer science , ground truth , 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.

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