COVID-19 digital x-rays forgery classification model using deep learning

Eman I. Abd El-Latif, Nour Eldeen Khalifa

Open source

DOI: 10.11591/ijai.v12.i4.pp1821-1827
Published: 2023-12-01
Container: IAES International Journal of Artificial Intelligence (IJ-AI)
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijai.v12.i4.pp1821-1827,
  title = {COVID-19 digital x-rays forgery classification model using  deep learning},
  author = {Eman I. Abd El-Latif and Nour Eldeen Khalifa},
  year = {2023},
  journal = {IAES International Journal of Artificial Intelligence (IJ-AI)},
  doi = {10.11591/ijai.v12.i4.pp1821-1827},
  url = {https://doi.org/10.11591/ijai.v12.i4.pp1821-1827}
}

RIS

TY  - JOUR
TI  - COVID-19 digital x-rays forgery classification model using  deep learning
AU  - Eman I. Abd El-Latif
AU  - Nour Eldeen Khalifa
PY  - 2023
JO  - IAES International Journal of Artificial Intelligence (IJ-AI)
DO  - 10.11591/ijai.v12.i4.pp1821-1827
UR  - https://doi.org/10.11591/ijai.v12.i4.pp1821-1827
ER  -

APA

El-Latif, E. I. A., & Khalifa, N. E. (2023). COVID-19 digital x-rays forgery classification model using deep learning. IAES International Journal of Artificial Intelligence (IJ-AI). https://doi.org/10.11591/ijai.v12.i4.pp1821-1827

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crossref · retrieved 2026-09-26T02:14:51.525Z