Improved CycleGAN with application to COVID-19 classification

Keyphrases

• CycleGAN 100%
• COVID-19 Classification 100%
• Improved CycleGAN 100%
• Medical Imaging 50%
• Gradient-weighted Class Activation Mapping (Grad-CAM) 50%
• Class Imbalance Problem 50%
• Medical Experts 25%
• Non-pathogenic 25%
• Generative Adversarial Networks 25%
• Synthetic Data 25%
• Labeled Data 25%
• Visualization Tools 25%
• Synthetic Images 25%
• Auxiliary Data 25%
• Net Model 25%
• COVID-19 25%
• Imaging Task 25%
• COVID-19 Pandemic 25%
• Network Classification 25%
• Chest X-ray Images 25%
• Pathology Data 25%
• X-ray Classification 25%
• Class Activation Map 25%
• Manual Labeling 25%
• Imbalanced Data 25%
• Recent Growth 25%
• Class Imbalance 25%
• Non-COVID-19 Pneumonia 25%
• Fight against COVID-19 25%
• COVID-Net 25%
• COVID-19 Detection 25%

Computer Science

• Medical Imaging 100%
• Class Imbalance Problem 100%
• Gradient-Weighted Class Activation Mapping 100%
• Generative Adversarial Networks 50%
• Synthetic Data 50%
• Synthetic Image 50%
• Visualization Tool 50%
• Class Imbalance 50%