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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:NMR Biomed
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim: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
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller