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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research Papers
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

Internet

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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