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...

書誌詳細
主要な著者:	Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab
フォーマット:	論文
言語:	English
出版事項:	Nature Portfolio 2024-12-01
シリーズ:	Scientific Reports
主題:	Alzheimer’s disease Classification Machine learning Convolutional neural network Hybrid features learning
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-81563-z

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