Abstract:
This (COVID-19) is spreading quickly around the globe. COVID-19 victims have been diagnosed and isolated early, which has helped to slow the virus's spread. Deep learning algorithms are one of the greatest solutions for accurately and quickly recognizing COVID-19. This paper proposes two distinct DL techniques for COVID-19 identification utilizing chest X- ray pictures, both using on a connected CNN model. This preprocessing stage involves augmentation, enhancement, normalization, and resizing CXR images to a defined size. This study presents a deep learning method for identifying CXR pictures based on an assembly of many iterations of a revised.
