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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Veröffentlicht in:	Frontiers in physiology Jg. 15; S. 1380459
Hauptverfasser:	Ganesan, Praveena, Ramesh, G. P., Falkowski-Gilski, Przemysław, Falkowska-Gilska, Bożena
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 09.07.2024
Schlagworte:	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-Zugang:	Volltext
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