University of Guilan Computational Sciences and Engineering 2783-2503 4 1 2024 04 01 Multiple Sclerosis Diagnosis Methods Using Machine Learning and Imaging Techniques 41 51 8170 10.22124/cse.2024.28459.1086 EN Mandana Aghazadenejat Department of Electrical Engineering, University of Science and Culture, Tehran, Iran Abdalhossein Rezai Department of Electrical Engineering, University of Science and Culture, Tehran, Iran Journal Article 2024 09 13 Multiple Sclerosis (MS) disease is immune disorder that destroys myelin in the nervous system and causes many complications including motor and sensory disorders. Nowadays, medical images including Magnetic Resonance Imaging (MRI) and Optical Coherence Tomography (OCT) are recognized as the basic tools in the diagnosis of MS disease. Due to the large amount of image data in this method, the use of machine learning methods, especially Neural Networks (NNs) plays an important role in image processing. This paper presents a comprehensive overview of different methods, which utilize NNs to MS diagnosis. This review presents the classical of NNs and Convolutional NNs (CNNs), which are used in the MS diagnosis. In addition, challenges, and recent developments in this field are presented, which provides directions for future researches in this field. https://cse.guilan.ac.ir/article_8170_c6df14cc3d68a2212808ee903a7421f5.pdf