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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Deep Learning Approach for COVID-19 Identification
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.