• Ganesh Kumar Yadav 1Asst. Professor (Dept. Of CSE), ABES Institute of Technology, Ghaziabad (U.P.)
  • Shobhit Jain Computer Science and Engineering, ABES Institute of Technology, Ghaziabad (U.P.)
  • Shikhar Singh Computer Science and Engineering, ABES Institute Of Technology, Ghaziabad (UP)
  • Shivam Shanna Computer Science and Engineering, ABES Institute of Technology, Ghaziabad (U.P.)
Keywords: Pneumonia, X-Ray, Covid-19, Convolutional Neural Network


In order to speed up finding of causes of COVID-19 illness, this study developed novel diagnostic platform using profound convolutional neural network (CNN) helping radiologists diagnose COVID-19 pneumonia beside non-COVID-19 pneumonia in patient in Middle more Hospital. As the name suggests, crucial objective of our research is to produce a chest X-ray image classification program which could properly identify a scan's categorization as either "normal," "viral pneumonia," or "COVID-19." Using X-rays, we will train an image classifier to determine whether or not a person has COVID-19. In this data set, there are over 3000 chest X-ray pictures categorized in normal, viral, as well as COVID-19. A picture classifying system which properly identifies which of three categories Chest X-Ray scan corresponds with is purpose of this investigation.


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How to Cite
Yadav , G., Jain, S., Singh, S., & Shanna, S. (2022). DETECTION OF COVID-19 WITH CHEST X-RAY. IJRDO -Journal of Computer Science Engineering, 8(11), 13-22.