ABSTRACT
Corona virus disease (COVID19) is a hastily spreadable disease that is wreaking havoc on medicalcare systems all over the world. Due to the drawbacks of rear transcription-polymerase chain reaction (RT-PCR)based tests for COVID19 detection, a count of recent modules have proposed radiology imaging-based ideas.CT imaging is critical for detecting COVID-19-related lung manifestations, and segmenting infected parts from CT scans is critical for quantitative disease progression estimation in exact and correct diagnosis and follow throughassessment.In this research, we use a Convolution Neural Network to predict COVID19 disease in chest CT scan images. It's an advanced lung infection detection system based on computed tomography (CT) images that has a lot of potential as a complement to the COVID-19 treatment strategy.