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 [ 18 F]florbetaben PET/MRI studies were acquired, split equal...
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Veröffentlicht in: | European journal of nuclear medicine and molecular imaging 2020-12, Vol.47 (13), p.2998-3007 |
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