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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Autors principals:	Richard Crawley, Sina Amirrajab, Didier Lustermans, Robert J. Holtackers, Sven Plein, Mitko Veta, Marcel Breeuwer, Amedeo Chiribiri, Cian M. Scannell
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-08-01
Col·lecció:	European Radiology Experimental
Matèries:	Artificial intelligence Cardiovascular magnetic resonance Image processing (computer assisted) Late gadolinium enhancement Myocardium
Accés en línia:	https://doi.org/10.1186/s41747-024-00497-3
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