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 …

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …

Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an
important role in understanding brain functionalities and its disorders during the last couple …

Abstract Background: In recent years Artificial intelligence (AI) techniques are rapidly
evolving into clinical practices such as diagnosis and prognosis processes, assess …

Background: Computer-aided diagnosis can facilitate the early detection and diagnosis of
multiple sclerosis (MS) thus enabling earlier interventions and a reduction in long-term MS …

Automated detection of multi-class brain abnormalities through magnetic resonance imaging
(MRI) has received much attention due to its clinical significance and therefore has become …

Rapid development of high speed computing devices and infrastructure along with improved
understanding of deep machine learning techniques during the last decade have opened up …

In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …

Multiple sclerosis is a condition affecting brain and/or spinal cord. Based on deep learning,
this study aims to develop an improved convolutional neural network system. We collected …