Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image intensity features for segmentation, whereas the incorporation of anatomical shape priors has received less attention. I...

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Detalles Bibliográficos
Autores principales: Duan, Jinming, Bello, Ghalib, Schlemper, Jo, Bai, Wenjia, Dawes, Timothy J W, Biffi, Carlo, de Marvao, Antonio, Doumou, Georgia, O’Regan, Declan P, Rueckert, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728160/
https://www.ncbi.nlm.nih.gov/pubmed/30676949
http://dx.doi.org/10.1109/TMI.2019.2894322

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728160/
https://www.ncbi.nlm.nih.gov/pubmed/30676949
http://dx.doi.org/10.1109/TMI.2019.2894322

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