2020
DOI: 10.1049/iet-ipr.2019.0366 View full text |Buy / Rent full text
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Abstract: Magnetic resonance imaging (MRI) is used to diagnose multiple sclerosis (MS) disease lesions in the brain. Diagnosis of MS disease from MRI images is an important and vital thing in today's world. This disease can cause many problems for people who have this disease and reduce the life expectancy in them. So, a strong approach is needed to overcome the challenges in this field. In this study, a method is presented based on convolutional neural networks to detect MS disease lesions from MRI. Four layers of conv… Show more

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