Quantitative Susceptibility Mapping-Derived Radiomic Features in Discriminating Multiple Sclerosis From Neuromyelitis Optica Spectrum Disorder
Objectives: To implement a machine learning model using radiomic features extracted from quantitative susceptibility mapping (QSM) in discriminating multiple sclerosis (MS) from neuromyelitis optica spectrum disorder (NMOSD).Materials and Methods: Forty-seven patients with MS (mean age = 40.00 ± 13....
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| Main Authors: | , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Frontiers Media S.A.
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/e1ee6dae7aac4648aea7a45460f23fcd |
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