DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection
Currently, many deep learning models are being used to classify COVID‐19 and normal cases from chest X‐rays. However, the available data (X‐rays) for COVID‐19 is limited to train a robust deep‐learning model. Researchers have used data augmentation techniques to tackle this issue by increasing the n...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Wiley-Blackwell Publishing
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32820/1/DC-GAN-based%20synthetic%20X-ray%20images%20augmentation%20for%20increasing%20the%20performance%20of%20EfficientNet%20for%20COVID-19%20detection.pdf https://eprints.ums.edu.my/id/eprint/32820/2/DC-GAN-based%20synthetic%20X-ray%20images%20augmentation%20for%20increasing%20the%20performance%20of%20EfficientNet%20for%20COVID-19%20detection%20_ABSTRACT.pdf |