[HTML][HTML] Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities

N Aslam, IU Khan, A Bashamakh, FA Alghool… - Sensors, 2022 - mdpi.com
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 …

Medical image identification methods: A review

J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2024 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system

S Tatli, G Macin, I Tasci, B Tasci, PD Barua… - Expert Systems with …, 2024 - Elsevier
Purpose Multiple sclerosis (MS) is a commonly seen neurodegenerative disorder, and early
diagnosis of MS is a crucial issue to promote patient health. Since MS diagnosis is a …

[HTML][HTML] Exemplar MobileNetV2-based artificial intelligence for robust and accurate diagnosis of multiple sclerosis

T Ekmekyapar, B Taşcı - Diagnostics, 2023 - mdpi.com
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that
prominently affects young adults due to its debilitating nature. The pathogenesis of the …

AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

MG Khattap, M Abd Elaziz, HGEMA Hassan… - Scientific Reports, 2024 - nature.com
This study aims to develop an AI-enhanced methodology for the expedited and accurate
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …

A survey of deep learning methods for multiple sclerosis identification using brain MRI images

M Sah, C Direkoglu - Neural Computing and Applications, 2022 - Springer
Multiple sclerosis (MS) is one of the most common inflammatory neurological diseases in
young adults. There are three types of MS:(1) In relapsing remitting MS (RRMS), people …

[HTML][HTML] Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired …

MG Khattap, M Sallah, A Dahou, M Abd Elaziz… - Ain Shams Engineering …, 2025 - Elsevier
The rising global incidence of Multiple Sclerosis (MS), an autoimmune disorder that impacts
the central nervous system, demands novel diagnostic approaches for early detection and …

AI-Driven Diagnostics: Comparative Analysis of Machine Learning and Deep Learning Approaches in Multiple Sclerosis Diagnostics

L Anitha, D Narmadha… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Multiple Sclerosis (MS) is a chronic autoimmune disorder that targets the central nervous
system, resulting in considerable physical and cognitive disabilities. Timely and precise …

A Novel Approach to Precision Diagnosis of Multiple Sclerosis Brain Lesions Utilizing a Convolutional-based Ensemble Classification Approach for Embedded …

S Chilaka, RS Kapavarapu… - 2024 IEEE 17th …, 2024 - ieeexplore.ieee.org
Multiple Sclerosis Is a chronic autoimmune condition characterized by an attack elicited
through an immune response in the central nervous system. Affecting over 1.8 million …

[PDF][PDF] Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis. Diagnostics 2023, 13, 3030

T Ekmekyapar, B Taşcı - 2023 - researchgate.net
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system that
prominently affects young adults due to its debilitating nature. The pathogenesis of the …