Optimizing deep learning with improved Harris Hawks optimization for Alzheimer’s disease detection

As the global population ages, Alzheimer’s disease (AD) poses a significant worldwide challenge as a leading cause of dementia, with a slow early progression that eventually leads to nerve cell death and currently lacks effective treatment. However, early diagnosis can slow its progression through p...

Full description

Saved in:

Bibliographic Details
Published in:	The Artificial intelligence review Vol. 58; no. 10; p. 301
Main Authors:	Zhang, Qian, Sheng, Jinhua, Zhang, Qiao, Yang, Ze, Xin, Yu, Wang, Binbing, Zhang, Rong
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 07.07.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Alzheimer's disease Artificial Intelligence Brain Brain research CAD Cell death Classification Climbing Cognitive impairment Computer aided design Computer Science Computer vision Deep learning Dementia Diagnosis Disease Early intervention Experiments Exploitation Intervention Learning Machine learning Magnetic resonance imaging Mapping Medical diagnosis Medical imaging Multiculturalism & pluralism Necrosis Neural networks Neuroimaging Optimization Optimization algorithms Optimization techniques Searching Variants Deep learning Hyperparameter optimization Harris Hawks optimization Alzheimer’s disease
ISSN:	1573-7462, 0269-2821, 1573-7462
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!