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Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[(18)F]FDG PET
BACKGROUND: Considering the limited accessibility of amyloid position emission tomography (PET) in patients with dementia, we proposed a deep learning (DL)-based amyloid PET positivity classification model from PET images with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (2-[(18)F]FDG). METHODS: We used...
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| Publicado no: | EJNMMI Res |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8192639/ https://ncbi.nlm.nih.gov/pubmed/34114091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13550-021-00798-3 |
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