Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation.

Al Khalil, Yasmina; Amirrajab, Sina; Lorenz, Cristian; Weese, Jürgen; Pluim, Josien; Breeuwer, Marcel

Al Khalil, Yasmina; Amirrajab, Sina; Lorenz, Cristian; Weese, Jürgen; Pluim, Josien; Breeuwer, Marcel.

Affiliation

Al Khalil Y; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. Electronic address: y.al.khalil@tue.nl.
Amirrajab S; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Lorenz C; Philips Research Laboratories, Hamburg, Germany.
Weese J; Philips Research Laboratories, Hamburg, Germany.
Pluim J; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Breeuwer M; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Philips Healthcare, MR R&D - Clinical Science, Best, The Netherlands.

Comput Biol Med ; 161: 106973, 2023 07.

Article de En | MEDLINE | ID: mdl-37209615

Sujet(s)
Mots clés

Cardiac segmentation; GANs; Image synthesis; Late fusion; Outlier failure reduction

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Cardiopathies Type d'étude: Diagnostic_studies / Guideline / Prognostic_studies Limites: Humans Langue: En Journal: Comput Biol Med Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique

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