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Constrained generative adversarial network ensembles for sharable synthetic medical images
Purpose: Sharing medical images between institutions, or even inside the same institution, is restricted by various laws and regulations; research projects requiring large datasets may suffer as a result. These limitations might be addressed by an abundant supply of synthetic data that (1) are repre...
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| Publicado no: | J Med Imaging (Bellingham) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Society of Photo-Optical Instrumentation Engineers
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8035968/ https://ncbi.nlm.nih.gov/pubmed/33855104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.2.024004 |
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