Leveraging GANs for data scarcity of COVID-19: Beyond the hype
Author:
Affiliation:
1. Hamad Bin Khalifa University, Qatar Foundation,College of Science and Engineering,Doha,Qatar
2. Umeå University,Department of Radiation Sciences,Umeå,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208393.pdf?arnumber=10208393
Reference53 articles.
1. Neural Style Transfer as Data Augmentation for Improving COVID-19 Diagnosis Classification
2. Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network;amin;Cognitive Computation,2021
3. Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer
4. Dense GAN and multi-layer attention based lesion segmentation method for COVID-19 CT images
5. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
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