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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:IEEE Trans Med Imaging
मुख्य लेखकों: 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
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2019
विषय:
ऑनलाइन पहुंच: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
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