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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:IEEE Trans Med Imaging
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2019
Soggetti:
Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6728160/
https://ncbi.nlm.nih.gov/pubmed/30676949
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2019.2894322
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi