DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection

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...

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Bibliographic Details
Main Authors: Pir Masoom Shah, Hamid Ullah, Rahim Ullah, Dilawar Shah, Yulin Wang, Saif ul Islam, Abdullah Gani, Rodrigues, Joel J. P. C.
Format: Article
Language:English
English
Published: Wiley-Blackwell Publishing 2021
Subjects:
RC581-951 Specialties of internal medicine
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

Internet

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

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