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Synthesis of COVID-19 chest X-rays using unpaired image-to-image translation
Motivated by the lack of publicly available datasets of chest radiographs of positive patients with coronavirus disease 2019 (COVID-19), we build the first-of-its-kind open dataset of synthetic COVID-19 chest X-ray images of high fidelity using an unsupervised domain adaptation approach by leveragin...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903408/ https://www.ncbi.nlm.nih.gov/pubmed/33643491 http://dx.doi.org/10.1007/s13278-021-00731-5 |