Volumetric Histogram-Based Alzheimer's Disease Detection Using Support Vector Machine
作者： Heba Elshatoury , Egils Avots , Gholamreza Anbarjafari ,
DOI: 10.3233/JAD-190704
关键词:
摘要: In this research work, machine learning techniques are used to classify magnetic resonance imaging brain scans of people with Alzheimer's disease. This work deals binary classification between disease and cognitively normal. Supervised algorithms were train classifiers in which the accuracies being compared. The database is from Disease Neuroimaging Initiative (ADNI). Histogram for all slices images. Based on highest performance, specific selected further examination. Majority voting weighted applied accuracy calculated best result 69.5% majority voting.
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