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...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab
פורמט: Article
שפה:English
יצא לאור: Nature Portfolio 2024-12-01
סדרה:Scientific Reports
נושאים:
Alzheimer’s disease
Classification
Machine learning
Convolutional neural network
Hybrid features learning
גישה מקוונת:https://doi.org/10.1038/s41598-024-81563-z

אינטרנט

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

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