Deep learning has recently been used for the analysis of neuroimages, such as structural
magnetic resonance imaging (MRI), functional MRI, and positron emission tomography …

Featured Application This review provides a critical review of deep/machine learning
algorithms used in the identification of ischemic stroke and demyelinating brain diseases. It …

Brain Hemorrhage is the eruption of the brain arteries due to high blood pressure or blood
clotting that could be a cause of traumatic injury or death. It is the medical emergency in …

Covid-19 is a disease that affects the upper and lower respiratory tract and has fatal
consequences in individuals. Early diagnosis of COVID-19 disease is important. Datasets …

Segmentation of retinal blood vessels is the first step for several computer aided-diagnosis
systems (CAD), not only for ocular disease diagnosis such as diabetic retinopathy (DR) but …

Memory related issues in brain are mainly caused by Alzheimer disease (AD) which is the
most common form of dementia. This disease must be diagnosed in its prodromal stage …

In the era of digital revolution, individual lives are going to cross and interconnect ubiquitous
online domains and offline reality based on smart technologies—discovering, storing …

The development of an efficient medical image processing technique to detect Alzheimer's
disease in the early stages will be an important medical method practitioners. Image …

Studies have revealed that neurodegenerative diseases known to cause cognitive
impairment will increase significantly worldwide by 2050. Subsequently, there is a critical …

Distinguishing between swarming and swimming, the two principal forms of bacterial
movement, holds significant conceptual and clinical relevance. This is because bacteria that …