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Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation

Abstract Quantification of myocardial scar from late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) images can be facilitated by automated artificial intelligence (AI)-based analysis. However, AI models are susceptible to domain shifts in which the model performance is degraded...

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Kaydedildi:
Asıl Yazarlar: Richard Crawley, Sina Amirrajab, Didier Lustermans, Robert J. Holtackers, Sven Plein, Mitko Veta, Marcel Breeuwer, Amedeo Chiribiri, Cian M. Scannell
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: SpringerOpen 2024-08-01
Seri Bilgileri:European Radiology Experimental
Konular:
Artificial intelligence
Cardiovascular magnetic resonance
Image processing (computer assisted)
Late gadolinium enhancement
Myocardium
Online Erişim:https://doi.org/10.1186/s41747-024-00497-3
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