Volume 20 No 12 (2022)
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Data analysis of COVID-19 pandemic using CT images
Aravind Jadhav ,Dr Sanjay Pujari
The COVID-19, infectious disease which is caused by the new virus called corona virus [SARSCOV-2], majorly affects the lungs which can be identified by the CT scan of the corona affected patients. We have collected for about 353 lung CT frames from each COVID-19 patient. it is about 369 non COVID-19 CT frames for the purpose of testing and training which gives the best identification technique in this pandemic situation. The identification technique we have introduced in this paper is data augmentation technique which gave best results that will be discussed here in further. From the collected data, we have utilized 75% of the lungs CT frames for training and another 25% frames for difficult attributes. This research paper encompasses of the results specified on CT images of corona complete, improved and loss problems which helps in comparative analysis. So, this comparative analysis of CT images is the illustration investigative statistics examination
COVID-19 lung CT scan, Data augmentation, performance metrics
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