Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation.

Journal: Acta radiologica (Stockholm, Sweden : 1987)

PMID: 38196180

Abstract

BACKGROUND: To evaluate the degree of cerebral atrophy for Alzheimer's disease (AD), voxel-based morphometry has been performed with magnetic resonance imaging. Detailed morphological changes in a specific tissue area having the most evidence of atrophy were not considered by the machine-learning technique.

Authors

Natsuki Ikemitsu

Graduate school of Health Science, Tokushima University, Tokushima, Japan.
Yuki Kanazawa

Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Akihiro Haga
Hiroaki Hayashi

Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan.
Yuki Matsumoto

Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Masafumi Harada

Department of Radiology, Tokushima University Hospital, 2-50-1, Kuramoto-cho, Tokushima City, Tokushima, 770-8503, Japan.

Keywords

Aged Aged, 80 and over Alzheimer Disease Atrophy Brain Female Gray Matter Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Machine Learning Magnetic Resonance Imaging Male Middle Aged Neuroimaging Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (38196180)

Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation.

Abstract

Authors

Keywords

External Resources

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