Alzheimer's disease, a debilitating neurological disorder, precipitates irreversible cognitive
decline and memory loss, predominantly affecting individuals aged 65 years and above. The …

Alzheimer's disease is a neurological condition that typically affects elderly people and
causes memory loss and cognitive deterioration. Effective intervention and therapy for …

Objective The objective of this study is to develop a more effective early detection system for
Alzheimer's disease (AD) using a Deep Residual Network (ResNet) model by addressing …

Alzheimer's disease (AD) is one of the most common public health issues the world is facing
today. This disease has a high prevalence primarily in the elderly accompanying memory …

The rise of dementia among the old population across the world will rapidly make financial
suffering on healthcare industries, yet convenient acknowledgment of early notice for …

Deep learning algorithms offer distinct advantages over other machine learning methods,
enabling the exploitation of advanced techniques to analyze brain MRI scans. In a recent …

Alzheimer's disease (AD) is a progressive neurological disorder. In India, there are over four
million dementia patients. Given that dementia affects at least 43 million individuals …

Numerous medical studies have shown that Alzheimer's disease (AD) was present decades
before the clinical diagnosis of dementia. As a result of the development of these studies …

Alzheimer's Disease (AD) is a neurological disorder that affects cognitive functions,
including memory, thinking, and behavior. Early detection of Alzheimer's disease is critical …

This study evaluates the performance of a convolutional neural network (CNN) model for
Alzheimer's disease (AD) classification based on MRI image processing. The results show …