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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NMR Biomed
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
Témata:
Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky