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

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

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....

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Bibliographic Details
Main Authors: Abdul Waheed, Muskan Goyal, Deepak Gupta, Ashish Khanna, Fadi Al-Turjman, Placido Rogerio Pinheiro
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural networks
generative adversarial networks
synthetic data augmentation
COVID-19 detection
Online Access:https://ieeexplore.ieee.org/document/9093842/

Internet

https://ieeexplore.ieee.org/document/9093842/

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