MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
- DOI
- 10.1016/j.eswa.2022.119475
- Published
- 2023-04
- Container
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.eswa.2022.119475,
title = {MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images},
author = {Zahid Ullah and Muhammad Usman and Jeonghwan Gwak},
year = {2023},
journal = {Expert Systems with Applications},
doi = {10.1016/j.eswa.2022.119475},
url = {https://doi.org/10.1016/j.eswa.2022.119475}
}RIS
TY - JOUR TI - MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images AU - Zahid Ullah AU - Muhammad Usman AU - Jeonghwan Gwak PY - 2023 JO - Expert Systems with Applications DO - 10.1016/j.eswa.2022.119475 UR - https://doi.org/10.1016/j.eswa.2022.119475 ER -
APA
Ullah, Z., Usman, M., & Gwak, J. (2023). MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2022.119475
Source records
- crossref · retrieved 2026-09-25T22:47:43.639Z