CVSnet: a machine learning approach for automated central vein sign assessment in multiple sclerosis

The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We describe a deep-learning-based prototype for automated...

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Detalhes bibliográficos
Publicado no:NMR Biomed
Main Authors: Maggi, Pietro, Fartaria, Mário João, Jorge, João, La Rosa, Francesco, Absinta, Martina, Sati, Pascal, Meuli, Reto, Du Pasquier, Renaud, Reich, Daniel S., Cuadra, Meritxell Bach, Granziera, Cristina, Richiardi, Jonas, Kober, Tobias
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7754184/
https://ncbi.nlm.nih.gov/pubmed/32125737
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/nbm.4283
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