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

Purpose: 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. Methods: Eighty simultaneous [18F]florbetaben PET/MRI studies were acquired, split equal...

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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 47; no. 13; pp. 2998 - 3008
Autores principales:	Chen, Kevin T., Schürer, Matti, Ouyang, Jiahong, Koran, Mary Ellen I., Davidzon, Guido, Mormino, Elizabeth, Tiepolt, Solveig, Hoffmann, Karl-Titus, Sabri, Osama, Zaharchuk, Greg, Barthel, Henryk
Formato:	Journal Article
Publicado:	Springer Nature 2020
Acceso en línea:	Ver este registro en EBSCOhost