Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

Amongst the most common causes of death globally, stroke is one of top three affecting over
100 million people worldwide annually. There are two classes of stroke, namely ischemic …

Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …

Examination of the brain's condition with the Electroencephalogram (EEG) can be helpful to
predict abnormality and cerebral activities. The purpose of this study was to develop an …

We research into the clinical, biochemical and neuroimaging factors associated with the
outcome of stroke patients to generate a predictive model using machine learning …

Schizophrenia (SZ) is a mental disorder, which affects the ability of human thinking, memory,
and way of living. Manual screening of SZ patients is tedious, laborious and prone to human …

Stroke is a disease that affects the arteries leading to and within the brain. Detecting stroke
early and conveniently is much more difficult as there is no portable system to detect it. Most …

The proposed work implements a Machine-Learning-Technique (MLT) to evaluate and
classify the tumor regions into low/high grade based on the analysis carriedout with the …

Magnetic resonance imaging (MRI) is a standard tool for the diagnosis of stroke, but its
manual interpretation by experts is arduous and time-consuming. Thus, there is a need for …

The principle restorative step in the treatment of ischemic stroke depends on how fast the
lesion is delineated from the Magnetic Resonance Imaging (MRI) images. This will serve as …