Machine learning application for classification of Alzheimer's disease stages using (18)F-flortaucipir positron emission tomography

BACKGROUND: The progression of Alzheimer’s dementia (AD) can be classified into three stages: cognitive unimpairment (CU), mild cognitive impairment (MCI), and AD. The purpose of this study was to implement a machine learning (ML) framework for AD stage classification using the standard uptake value...

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Detalles Bibliográficos
Autores principales: Park, Sang Won, Yeo, Na Young, Lee, Jinsu, Lee, Suk-Hee, Byun, Junghyun, Park, Dong Young, Yum, Sujin, Kim, Jung-Kyeom, Byeon, Gihwan, Kim, Yeshin, Jang, Jae-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149022/
https://www.ncbi.nlm.nih.gov/pubmed/37120537
http://dx.doi.org/10.1186/s12938-023-01107-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149022/
https://www.ncbi.nlm.nih.gov/pubmed/37120537
http://dx.doi.org/10.1186/s12938-023-01107-w

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