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L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI
In this work, we implement a fully convolutional segmenter featuring both a learned group structure and a regularized weight-pruner to reduce the high computational cost in volumetric image segmentation. We validated our framework on the ACDC dataset featuring one healthy and four pathology patient...
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| Publicado no: | Annu Int Conf IEEE Eng Med Biol Soc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8169002/ https://ncbi.nlm.nih.gov/pubmed/33018206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC44109.2020.9176491 |
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