Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique

Alzheimer’s disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this regard, but Magnetic Resonance Imaging (MRI) provides the most helpful neuroimaging tool for detectin...

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Bibliographic Details
Published in:	PloS one Vol. 19; no. 9; p. e0304995
Main Authors:	Zia-ur-Rehman, Awang, Mohd Khalid, Rashid, Javed, Ali, Ghulam, Hamid, Muhammad, Mahmoud, Samy F., Saleh, Dalia I., Ahmad, Hafiz Ishfaq
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 06.09.2024 Public Library of Science (PLoS)
Subjects:	Accuracy Aged Aged, 80 and over Alzheimer Disease - classification Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Alzheimer's disease Artificial intelligence Brain - diagnostic imaging Brain - pathology Brain research Classification Cognitive ability Data augmentation Datasets Deep Learning Dementia Disease Female Humans Identification and classification Machine learning Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical diagnosis Medical imaging Medical research Medicine, Experimental Neural networks Neurodegenerative diseases Neuroimaging Neuroimaging - methods Physiological aspects Tomography Transfer learning Malaysia Pakistan
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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