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Machine learning classification of multiple sclerosis in children using optical coherence tomography
BACKGROUND: In children, multiple sclerosis (MS) is the ultimate diagnosis in only 1/5 to 1/3 of cases after a first episode of central nervous system (CNS) demyelination. As the visual pathway is frequently affected in MS and other CNS demyelinating disorders (DDs), structural retinal imaging such...
Autores principales: | Ciftci Kavaklioglu, Beyza, Erdman, Lauren, Goldenberg, Anna, Kavaklioglu, Can, Alexander, Cara, Oppermann, Hannah M, Patel, Amish, Hossain, Soaad, Berenbaum, Tara, Yau, Olivia, Yea, Carmen, Ly, Mina, Costello, Fiona, Mah, Jean K, Reginald, Arun, Banwell, Brenda, Longoni, Giulia, Ann Yeh, E |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679797/ https://www.ncbi.nlm.nih.gov/pubmed/35946086 http://dx.doi.org/10.1177/13524585221112605 |
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