Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …

Alzheimer's disease (AD) is the most common chronic disease in the elderly, with a high
incidence rate. In recent years, deep learning has become popular in the field of medical …

Deep learning algorithms have a huge influence on tackling research issues in the field of
medical image processing. It acts as a vital aid for the radiologists in producing accurate …

Deep learning, a state-of-the-art machine learning approach, has shown outstanding
performance over traditional machine learning in identifying intricate structures in complex …

Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive
impairment and aberrant protein deposition in the brain. Therefore, the early detection of AD …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

A growing body of evidence currently proposes that deep learning approaches can serve as
an essential cornerstone for the diagnosis and prediction of Alzheimer's disease (AD). In …

Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …

To diagnose Alzheimer's disease (AD), neuroimaging methods such as magnetic resonance
imaging have been employed. Recent progress in computer vision with deep learning (DL) …