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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: 80 simultaneous [(18)F]florbetaben PET/MRI studies were acquired, split equally...
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| Veröffentlicht in: | Eur J Nucl Med Mol Imaging |
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| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7680289/ https://ncbi.nlm.nih.gov/pubmed/32535655 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-020-04897-6 |
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