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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Detalles Bibliográficos
Autores principales: Kim, Suhong, Lee, Peter, Oh, Kyeong Taek, Byun, Min Soo, Yi, Dahyun, Lee, Jun Ho, Kim, Yu Kyeong, Ye, Byoung Seok, Yun, Mi Jin, Lee, Dong Young, Jeong, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192639/
https://www.ncbi.nlm.nih.gov/pubmed/34114091
http://dx.doi.org/10.1186/s13550-021-00798-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192639/
https://www.ncbi.nlm.nih.gov/pubmed/34114091
http://dx.doi.org/10.1186/s13550-021-00798-3

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