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Majid & Ali                                                                                                                      | 109

                        VII. CONCLUSIONS                          Images with Pathology,” pp. 1–16, 2019, [Online].

The world was attacked by a novel coronavirus in late 2019        Available: http://arxiv.org/abs/1911.08716.
that caused death and infected millions of people in just a
few months, to prevent the spread of the virus we need early    [12] A. L. Barbieri, O. Fadare, L. Fan, H. Singh, and V.
detection as a result we proposed a deep learning approach        Parkash, “Challenges in communication from referring
based on traditional augmentation and Conditional
Generative Adversarial Networks (CGAN) to expending               clinicians to pathologists in the electronic health record
limited COVID-19 dataset, the CGAN Technique could                era,” J. Pathol. Inform., vol. 9, no. 1, 2018, doi:
generate realistic synthetic COVID-19 X-ray images that
have never been seen previously by learning the distribution      10.4103/jpi.jpi.
noise of images, our dataset expanding from 587 to 6988         [13] T. Han et al., “Breaking medical data sharing
with high-quality images and variety. The augmented dataset
improves the performance of the customized detection model        boundaries by using synthesized radiographs,” Sci. Adv.,
and resolves the overfitting issue. The experiment showed
that the deep learning model can significantly improve the        vol. 6, no. 49, 2020, doi: 10.1126/sciadv.abb7973.
speed diagnosing of COVID-19 cases with high accuracy of
97%.                                                            [14] A. Waheed, M. Goyal, D. Gupta, A. Khanna, F. Al-
                                                                  Turjman, and P. R. Pinheiro, “CovidGAN: Data
                     CONFLICT OF INTEREST
                                                                  Augmentation Using Auxiliary Classifier GAN for
     The authors have no conflict of relevant interest to this    Improved Covid-19 Detection,” IEEE Access, vol. 8, pp.
article.                                                          91916–91923, 2020.

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