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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Vydané v:	Frontiers in physiology Ročník 15; s. 1380459
Hlavní autori:	Ganesan, Praveena, Ramesh, G. P., Falkowski-Gilski, Przemysław, Falkowska-Gilska, Bożena
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media S.A 09.07.2024
Predmet:	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
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