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 …

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 …

Abstract Background and Objective Retinal diseases are becoming a major health problem
in recent years. Their early detection and ensuing treatment are essential to prevent visual …

Purpose: Detection of Alzheimer's disease (AD) on magnetic resonance imaging (MRI)
using convolutional neural networks (CNNs), which is useful for detecting AD in its …

Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which
allows us to observe the insightful structure of the human body in vivo and non-invasively. It …

Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …

Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that affects
millions of people worldwide. Early detection and accurate diagnosis of AD are crucial for …

Alzheimer's disease (AD) is a progressive neurological problem that causes brain atrophy
and affects the memory and thinking skills of an individual. Accurate detection of AD has …

Age-related macular degeneration (AMD) is an ocular disorder that affects the elderly. The
prevalence of AMD is growing due to the aging population in society; hence early diagnosis …

Glaucoma is a chronic progressive optic neuropathy characterized by the impairment of the
optic nerve, and if it is left untreated, it may lead to irreversible vision loss. So, the early …