A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning

A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning

Abstract Alzheimer’s disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the nervous system, affecting the cognitive ability of the human brain. Over the past two decades, neuroimaging data from Magnetic Resonance Imaging (MRI) scans has been increasingly used in the...

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Bibliografiska uppgifter
Huvudupphovsmän: Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab
Materialtyp: Artikel
Språk:English
Publicerad: Nature Portfolio 2024-12-01
Serie:Scientific Reports
Ämnen:
Alzheimer’s disease
Classification
Machine learning
Convolutional neural network
Hybrid features learning
Länkar:https://doi.org/10.1038/s41598-024-81563-z

Internet

https://doi.org/10.1038/s41598-024-81563-z

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