Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

The performance of artificial intelligence (AI) for brain MRI can improve if enough data are
made available. Generative adversarial networks (GANs) showed a lot of potential to …

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 …

Advances in artificial intelligence have cultivated a strong interest in develo** and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the
training, validation, and testing of advanced deep learning (DL)-based automated tools …

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 …

Multiple Sclerosis (MS) is an autoimmune disease that causes brain and spinal cord lesions,
which magnetic resonance imaging (MRI) can detect and characterize. Recently, deep …

Magnetic Resonance Imaging (MRI) is a critical imaging technique that provides detailed
visualization of internal structures without harmful radiation. This review focuses on key MRI …

Automating screening and diagnosis in the medical field saves time and reduces the
chances of misdiagnosis while saving on labor and cost for physicians. With the feasibility …

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 …