DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection.
- DOI
- 10.1111/exsy.12823
- Published
- 2022 Mar
- Container
- Expert systems
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1111/exsy.12823,
title = {DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection.},
author = {Shah PM and Ullah H and Ullah R and Shah D and Wang Y and Islam SU and Gani A and Rodrigues JJPC},
year = {2022},
journal = {Expert systems},
doi = {10.1111/exsy.12823},
url = {https://doi.org/10.1111/exsy.12823}
}RIS
TY - JOUR TI - DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection. AU - Shah PM AU - Ullah H AU - Ullah R AU - Shah D AU - Wang Y AU - Islam SU AU - Gani A AU - Rodrigues JJPC PY - 2022 JO - Expert systems DO - 10.1111/exsy.12823 UR - https://doi.org/10.1111/exsy.12823 ER -
APA
PM, S., H, U., R, U., D, S., Y, W., SU, I., A, G., & JJPC, R. (2022). DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection.. Expert systems. https://doi.org/10.1111/exsy.12823
Source records
- pubmed · retrieved 2026-09-25T15:34:45.042Z
- europe-pmc · retrieved 2026-09-25T15:34:45.076Z