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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...
Tallennettuna:
| Julkaisussa: | Stat Atlases Comput Models Heart |
|---|---|
| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | 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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