Leveraging GANs for Data Scarcity of COVID-19: Beyond the Hype.
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW（2023）
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43 published studies,AI-based models,Artificial Intelligence-based models,COVID-19,data augmentation,data bias,data scarcity problem,existing GANs architecture,GAN-based approaches,Generative Adversarial Networks,good GAN-based methods,included studies,input images,medical imaging research community,other domain experts,paper highlights research hotspots,radiologists,reliable synthetic data,reproducibility,rescaling,synthetic data generation,synthetic lung CT scans,X-ray images,X-Ray images
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