Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
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 …
problems for people with a detrimental effect on the functioning of the nervous system. In …
Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities
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 …
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis
CI Hernandez, S Kargarnovin, S Hejazi… - Frontiers in …, 2023 - frontiersin.org
Background Considering that brain activity involves communication between millions of
neurons in a complex network, nonlinear analysis is a viable tool for studying …
neurons in a complex network, nonlinear analysis is a viable tool for studying …
Machine learning for human emotion recognition: a comprehensive review
Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …
psychology, philosophy, computing, and others. Emotions influence how we make …
Multimodal diagnostics in multiple sclerosis: predicting disability and conversion from relapsing-remitting to secondary progressive disease course–protocol for …
Background The number of patients diagnosed with multiple sclerosis (MS) has increased
significantly over the last decade. The challenge is to identify the transition from relapsing …
significantly over the last decade. The challenge is to identify the transition from relapsing …
Comparative study for tuberculosis detection by using deep learning
Tuberculosis (TB) is an infectious disease which becomes a significant health problem
worldwide. Many people have been affected by this disease owing to deficiency of treatment …
worldwide. Many people have been affected by this disease owing to deficiency of treatment …
Future activity prediction of multiple sclerosis with 3D MRI using 3D discrete wavelet transform
Multiple Sclerosis (MS) is a chronic and autoimmune neurological disease that is frequently
seen especially in young people. MS lesions that can be seen with magnetic resonance …
seen especially in young people. MS lesions that can be seen with magnetic resonance …
Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods
U Aslan, MF Akşahin - Computers in Biology and Medicine, 2025 - Elsevier
As one of the most common neurodegenerative diseases, Multiple sclerosis (MS) is a
chronic immune-driven disorder that affects the central nervous system (CNS). Due to the …
chronic immune-driven disorder that affects the central nervous system (CNS). Due to the …
Multiclass recognition of AD neurological diseases using a bag of deep reduced features coupled with gradient descent optimized twin support vector machine …
S Velliangiri, S Pandiaraj… - … : Practice and Experience, 2022 - Wiley Online Library
Alzheimer's disease (AD) is an advanced neurodegenerative disease of the brain that
affects the nerve system of brain. Previously, several feature extraction and classification …
affects the nerve system of brain. Previously, several feature extraction and classification …
A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals
SŞ Karacan, HM Saraoğlu - Computers in Biology and Medicine, 2024 - Elsevier
Abstract Background and Objective Multiple sclerosis (MS) is a neurodegenerative
autoimmune disease affecting the central nervous system, leading to various neurological …
autoimmune disease affecting the central nervous system, leading to various neurological …