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Adversarial Confidence Learning for Medical Image Segmentation and Synthesis
Generative adversarial networks (GAN) are widely used in medical image analysis tasks, such as medical image segmentation and synthesis. In these works, adversarial learning is directly applied to the original supervised segmentation (synthesis) networks. The usage of adversarial learning is effecti...
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| Yayımlandı: | Int J Comput Vis |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8211108/ https://ncbi.nlm.nih.gov/pubmed/34149167 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11263-020-01321-2 |
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