Automated differential diagnosis of dementia syndromes using FDG PET and machine learning

Automated differential diagnosis of dementia syndromes using FDG PET and machine learning

BackgroundMetabolic brain imaging with 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is a supportive diagnostic and differential diagnostic tool for neurodegenerative dementias. In the clinic, scans are usually visually interpreted. However, computer-aided approaches can imp...

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Bibliographic Details
Main Authors: Matej Perovnik, An Vo, Nha Nguyen, Jan Jamšek, Tomaž Rus, Chris C. Tang, Maja Trošt, David Eidelberg
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Aging Neuroscience
Subjects:
dementia
differential diagnosis
visual reading
machine learning
FDG PET
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.1005731/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2022.1005731/full

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