Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

In recent years, there have been multiple works of literature reviewing methods for
automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature …

The presence of cortical lesions in multiple sclerosis patients has emerged as an important
biomarker of the disease. They appear in the earliest stages of the illness and have been …

Purpose MRI is integral to the diagnosis of multiple sclerosis (MS) and is important for
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …

The current diagnostic criteria for multiple sclerosis (MS) lack specificity, and this may lead to
misdiagnosis, which remains an issue in present-day clinical practice. In addition …

Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central
nervous system, characterized by the appearance of focal lesions in the white and gray …

Segmentation of biomedical images is the method of semiautomatic and automatic detection
of boundaries within 2D and 3D images. The major challenge of medical image …

In this work we present BIANCA‐MS, a novel tool for brain white matter lesion segmentation
in multiple sclerosis (MS), able to generalize across both the wide spectrum of MRI …

This paper proposes IoT-based an enterprise health information system called IoTPulse to
predict alcohol addiction providing real-time data using machine-learning in fog computing …

Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time
consuming, and past studies have shown only moderate inter‐rater reliability. To accelerate …