Enhancing Low Quality in Radiograph Datasets Using Wavelet Transform Convolutional Neural Network and Generative Adversarial Network for COVID-19 Identification

2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)(2021)

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摘要
The coronavirus disease of 2019 (COVID-19) pandemic has caused a global public health epidemic since there is no 100% vaccine to cure or prevent the further spread of the virus. With the ever-increasing number of new infections, creating automated methods for COVID-19 identification of Chest X-ray images is critical to aiding clinical diagnosis and reducing the time-consumption for image interpret...
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关键词
COVID-19,Wavelet transforms,Training,Sensitivity,Superresolution,Tomography,Generative adversarial networks
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