Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis

Deep Learning-Based Method to Differentiate Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis

Background: Differentiating neuromyelitis optica spectrum disorder (NMOSD) from multiple sclerosis (MS) is crucial in the field of diagnostics because, despite their similarities, the treatments for these two diseases are substantially different, and disease-modifying treatments for MS can worsen NM...

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Bibliographic Details
Main Authors: Hyunjin Kim, Youngin Lee, Yong-Hwan Kim, Young-Min Lim, Ji Sung Lee, Jincheol Woo, Su-Kyeong Jang, Yeo Jin Oh, Hye Weon Kim, Eun-Jae Lee, Dong-Wha Kang, Kwang-Kuk Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Neurology
Subjects:
brain magnetic resonance image (MRI)
convolutional neural network (CNN)
deep learning
multiple sclerosis
neuromyelitis optica spectrum disorder
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.599042/full

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https://www.frontiersin.org/articles/10.3389/fneur.2020.599042/full

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