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Quality-aware semi-supervised learning for CMR segmentation
One of the challenges in developing deep learning algorithms for medical image segmentation is the scarcity of annotated training data. To overcome this limitation, data augmentation and semi-supervised learning (SSL) methods have been developed. However, these methods have limited effectiveness as...
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| Publicado no: | Stat Atlases Comput Models Heart |
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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/PMC7611307/ https://ncbi.nlm.nih.gov/pubmed/34286332 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-68107-4_10 |
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