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

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

Abstract 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 u...

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Autores principales: Saman Motamed, Patrik Rogalla, Farzad Khalvati
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/b9f3d84cbfb7454aadf14305a9279e8b
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