articleIEEE AccessJan 1, 2020GOLD OA

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

Maharaja Engineering College · Artificial Intelligence in Medicine (Canada) · +3 more institutions

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Abstract

Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy and health. A positive chest X-ray of infected patients is a crucial step in the battle against COVID-19. Early results suggest that abnormalities exist in chest X-rays of patients suggestive of COVID-19. This has led to the introduction of a variety of deep learning systems and studies have shown that the accuracy of COVID-19 patient detection through the use of chest X-rays is strongly optimistic. Deep learning networks like convolutional neural networks (CNNs) need a substantial amount of training data. Because the…

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Authors

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Topics & keywords

Keywords
  • Coronavirus disease 2019 (COVID-19)
  • Convolutional neural network
  • Deep learning
  • Computer science
  • Artificial intelligence
  • Classifier (UML)
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
  • 2019-20 coronavirus outbreak
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