Deep Neural Networks have offered numerous innovative solutions to brain-related
diseases including Alzheimer's. However, there are still a few standpoints in terms of …

The classical neural network has provided remarkable results to diagnose neurological
disorders against neuroimaging data. However, in terms of efficient and accurate …

Alzheimer's disease (AD) is mainly a neurodegenerative sickness. The primary
characteristics are neuronal atrophy, amyloid deposition, and cognitive, behavioral, and …

Alzheimer's disease (AD) is a form of brain disorder that causes functions' loss in a person's
daily activity. Due to the tremendous progress of Alzheimer's patients and the lack of …

Alzheimer's disease (AD) is a chronic, irreversible brain disorder, no effective cure for it till
now. However, available medicines can delay its progress. Therefore, the early detection of …

Alzheimer's disease (AD) is a disease that gradually develops and causes degeneration of
the cells of the brain. The leading cause of AD is dementia that results in a person's inability …

This research aimed to evaluate numerous deep-learning models for Alzheimer's disease
detection using several different neuroimaging techniques. Ten recent studies were selected …

Alzheimer's patients typically suffer from a decline in cognitive abilities, which makes it
difficult for them to carry out the activities of daily living. At this time, it is unknown whether or …

Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of
Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be …

As shown in computer vision, the power of deep learning lies in automatically learning
relevant and powerful features for any perdition task, which is made possible through end-to …