Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …

Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …

Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently
a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's …

The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …

Traditional techniques based on image fusion are arduous in integrating complementary or
heterogeneous infrared (IR)/visible (VS) images. Dissimilarities in various kind of features in …

Alzheimer's disease (AD) is an irreversible illness of the brain impacting the functional and
daily activities of elderly population worldwide. Neuroimaging sensory systems such as …

Alzheimer's disease (AD) is a global health issue that predominantly affects older people. It
affects one's daily activities by modifying neural networks in the brain. AD is categorized by …

Developments in medical care have inspired wide interest in the current decade, especially
to their services to individuals living prolonged and healthier lives. Alzheimer's disease (AD) …

Alzheimer's disease represents a neurological condition characterized by steady cognitive
decline and eventual memory loss due to the death of brain cells. It is one of the most …

Cognitive impairments like memory disorder and depressive disorders lead to fatal
consequences if proper attention is not given to such health hazards. Their impact is …