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Amyloid PET Quantification Via End-to-End Training of a Deep Learning
PURPOSE: Although quantification of amyloid positron emission tomography (PET) is important for evaluating patients with cognitive impairment, its routine clinical use is hampered by complicated preprocessing steps and required MRI. Here, we suggested a one-step quantification based on deep learning...
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| Publié dans: | Nucl Med Mol Imaging |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer Berlin Heidelberg
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6821901/ https://ncbi.nlm.nih.gov/pubmed/31723364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13139-019-00610-0 |
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