Deep Learning Approach for COVID-19 Identification

Amin Ul Haq, J. Li, R. U. Khan, C. Mawuli, B. L. Y. Agbley, Mordecai F. Raj, Wang Zhou, Jalaluddin Khan, Abdul Haq, Abdus Saboor, Faiza Habib, Zafar Khan
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Abstract

Accurate diagnostic system is significantly important for timely COVID-19 identification. Diagnosing COVID-19 from chest x-ray images employing the CNN model is recommended for accurate recognition of COVID-19. The existing diagnosis techniques of COVID-19 still lack high accuracy. To handle this problem in this work, we have proposed accurate detection method for COVID-19. In the proposed method, a CNN is incorporated for the diagnosis of COVID-19 using chest x-ray images data. The experimental results illustrate that our technique is good for COVID-19 accurate diagnosis and can be easily implemented in health care systems.
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COVID-19识别的深度学习方法
准确的诊断系统对于及时识别COVID-19至关重要。为了准确识别COVID-19,建议使用CNN模型从胸部x线图像中诊断COVID-19。现有的新冠肺炎诊断技术仍缺乏较高的准确性。针对这一问题,我们提出了精准的COVID-19检测方法。在该方法中,利用胸部x线图像数据将CNN纳入COVID-19的诊断中。实验结果表明,我们的技术可以很好地准确诊断COVID-19,并且可以很容易地在卫生保健系统中实施。
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