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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Detalles Bibliográficos
Main Authors: Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab
Formato: Artigo
Idioma:English
Publicado: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease
Classification
Machine learning
Convolutional neural network
Hybrid features learning
Acceso en liña:https://doi.org/10.1038/s41598-024-81563-z

Internet

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

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