RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-ray

COVID-19 spread across the globe at an immense rate and has left healthcare systems incapacitated to diagnose and test patients at the needed rate. Studies have shown promising results for detection of COVID-19 from viral bacterial pneumonia in chest X-rays. Automation of COVID-19 testing using medi...

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Detalles Bibliográficos
Autores principales: Motamed, Saman, Rogalla, Patrik, Khalvati, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060427/
https://www.ncbi.nlm.nih.gov/pubmed/33883609
http://dx.doi.org/10.1038/s41598-021-87994-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060427/
https://www.ncbi.nlm.nih.gov/pubmed/33883609
http://dx.doi.org/10.1038/s41598-021-87994-2

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