Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach

OBJECTIVES: To stratify patients with multiple sclerosis (pwMS) based on brain MRI-derived volumetric features using unsupervised machine learning. METHODS: The 3-T brain MRIs of relapsing-remitting pwMS including 3D-T1w and FLAIR-T2w sequences were retrospectively collected, along with Expanded Dis...

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Detalles Bibliográficos
Autores principales: Pontillo, Giuseppe, Penna, Simone, Cocozza, Sirio, Quarantelli, Mario, Gravina, Michela, Lanzillo, Roberta, Marrone, Stefano, Costabile, Teresa, Inglese, Matilde, Morra, Vincenzo Brescia, Riccio, Daniele, Elefante, Andrea, Petracca, Maria, Sansone, Carlo, Brunetti, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Neuro
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279232/
https://www.ncbi.nlm.nih.gov/pubmed/35284989
http://dx.doi.org/10.1007/s00330-022-08610-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279232/
https://www.ncbi.nlm.nih.gov/pubmed/35284989
http://dx.doi.org/10.1007/s00330-022-08610-z

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