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Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs
PURPOSE: To develop a generative adversarial network (GAN) to quantify COVID-19 pneumonia on chest radiographs automatically. MATERIALS AND METHODS: This retrospective study included 50,000 consecutive non-COVID-19 chest CT scans in 2015–2017 for training. Anteroposterior virtual chest, lung, and pn...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181872/ https://www.ncbi.nlm.nih.gov/pubmed/37209462 http://dx.doi.org/10.1016/j.ejrad.2023.110858 |