Boosting the diagnostic power of amyloid-β PET using a data-driven spatially informed classifier for decision support

Boosting the diagnostic power of amyloid-β PET using a data-driven spatially informed classifier for decision support

Abstract Background Amyloid-β (Aβ) PET has emerged as clinically useful for more accurate diagnosis of patients with cognitive decline. Aβ deposition is a necessary cause or response to the cellular pathology of Alzheimer’s disease (AD). Usual clinical and research interpretation of amyloid PET does...

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Bibliographic Details
Main Authors: Ashwin V. Venkataraman, Wenjia Bai, Alex Whittington, James F. Myers, Eugenii A. Rabiner, Anne Lingford-Hughes, Paul M. Matthews, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2021-11-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s
Amyloid clusters
Amyloid PET
Machine learning
Clustering
Automated decision
Online Access:https://doi.org/10.1186/s13195-021-00910-8

Internet

https://doi.org/10.1186/s13195-021-00910-8

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