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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Nature Portfolio 2024-12-01
Saila:Scientific Reports
Gaiak:
Alzheimer’s disease
Classification
Machine learning
Convolutional neural network
Hybrid features learning
Sarrera elektronikoa:https://doi.org/10.1038/s41598-024-81563-z

Internet

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

Antzeko izenburuak