Detection of Alzheimer’s disease using Otsu thresholding with tunicate swarm algorithm and deep belief network

Introduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and detection of AD is the emerging research topic for...

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Bibliographic Details

Published in:	Frontiers in physiology Vol. 15; p. 1380459
Main Authors:	Ganesan, Praveena, Ramesh, G. P., Falkowski-Gilski, Przemysław, Falkowska-Gilska, Bożena
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 09.07.2024
Subjects:	Alzheimer’s disease detection classification accuracy deep belief network magnetic resonance imaging Otsu thresholding Physiology tunicate swarm algorithm Otsu thresholding deep belief network tunicate swarm algorithm magnetic resonance imaging classification accuracy Alzheimer’s disease detection
ISSN:	1664-042X, 1664-042X
Online Access:	Get full text
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