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FULLY AUTOMATIC SEGMENTATION OF THE RIGHT VENTRICLE VIA MULTI-TASK DEEP NEURAL NETWORKS
Segmentation of ventricles from cardiac magnetic resonance (MR) images is a key step to obtaining clinical parameters useful for prognosis of cardiac pathologies. To improve upon the performance of existing fully convolutional network (FCN) based automatic right ventricle (RV) segmentation approache...
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| Publicado no: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6938227/ https://ncbi.nlm.nih.gov/pubmed/31892860 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2018.8461556 |
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