Alzheimer's disease early detection from sparse data using brain importance maps

Statistical methods are increasingly used in the analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease. We will demonstrate a method to extract information about the location of metabolic changes induced by Alzheimer’s disease based on a machine learning approach that directly re...

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Bibliographic Details
Main Authors: Andreas Kodewitz, Sylvie Lelandais, Christophe Montagne, Vincent Vigneron
Format: Article
Language:English
Published: Computer Vision Center Press 2013-06-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Online Access:https://elcvia.cvc.uab.es/article/view/531