MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images

Zahid Ullah, Muhammad Usman, Jeonghwan Gwak

Open source

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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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

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