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 debilitating neurodegenerative disorder that requires accurate
diagnosis for effective management and treatment. In this article, we propose an architecture …

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 …

Alzheimer's disease (AD) is a neurodegenerative disorder, the most common cause of
dementia, so the accurate diagnosis of AD and its prodromal stage mild cognitive …

As the prevalence of autism spectrum disorder (ASD) increases globally, more and more
patients need to receive timely diagnosis and treatment to alleviate their suffering. However …

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 …

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 …

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most
common cause of Dementia. Neuroimaging analyses, such as T1 weighted magnetic …