Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

BACKGROUND: Research on the diagnosis of COVID-19 using lung images is limited by the scarcity of imaging data. Generative adversarial networks (GANs) are popular for synthesis and data augmentation. GANs have been explored for data augmentation to enhance the performance of artificial intelligence...

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Detalles Bibliográficos
Autores principales: Ali, Hazrat, Shah, Zubair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246088/
https://www.ncbi.nlm.nih.gov/pubmed/35709336
http://dx.doi.org/10.2196/37365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246088/
https://www.ncbi.nlm.nih.gov/pubmed/35709336
http://dx.doi.org/10.2196/37365

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