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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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| Publicado no: | Int J Comput Vis |
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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/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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