• Sambhaji Pawar
• Sarika Kamble
• Amruta Dhaygude
• Shruti Washilkar

Because of the COVID-19 epidemic, the whole globe is now experiencing a health catastrophe that is unprecedented in its sort. Researchers are worried about finding ways to halt the pandemic and preserve lives as the coronavirus spreads. The issues brought on by pandemics have been addressed partly through adopting artificial intelligence. In this paper, we construct a deep learning system to recognize COVID-19 from chest X-ray pictures and extract characteristics from the photos. An expanded dataset, created by combining COVID-19 and standard chest X-ray pictures from public sources, has been fine-tuned on two potent networks, namely CNN and VGG19. The findings provide excellent performance and simple COVID-19 identification techniques, demonstrating the effectiveness of transfer learning. This makes it possible to accurately automate the process of interpreting X-ray pictures, and it may also be used when the materials and RT-PCR tests are few.

A System for Covid 19 Recognition from Chest X-ray Using CNN And Vgg19 Algorithm

"A System for Covid 19 Recognition from Chest X-ray Using CNN And Vgg19 Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.559-563, May-2023, Available :http://www.jetir.org/papers/JETIRFX06097.pdf

"A System for Covid 19 Recognition from Chest X-ray Using CNN And Vgg19 Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp559-563, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06097.pdf