Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …

Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …

Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …

Objectives This study aimed to investigate the effectiveness of deep convolutional neural
network (CNN) in the diagnosis of interproximal caries lesions in digital bitewing …

(1) Background: Transfer learning refers to machine learning techniques that focus on
acquiring knowledge from related tasks to improve generalization in the tasks of interest. In …

Background: Alzheimer's is a degenerative dementing disorder that starts with a mild
memory impairment and progresses to a total loss of mental and physical faculties. The …

Alzheimer's disease (AD) is the most pervasive form of dementia, resulting in severe
psychosocial effects such as affecting personality, reasoning, emotions, and memory …

Early detection and prevention of Alzheimer's disease (AD) is an important and challenging
task. Determining a precise and accurate diagnosis of Alzheimer's disease in its early stages …

Introduction: Alzheimer's Disease (AD) is a degenerative brain disorder characterized by
cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the …

Healthcare 4.0 paradigm aims at realization of data-driven and patient-centric health
systems wherein advanced sensors can be deployed to provide personalized assistance …