A Review on Automatic COVID-19 Lung Lesions Detection from Tomographical Image

Corona Virus Disease-2019 commonly known as COVID-19 which has been defined by the Novel Corona Virus. It is a family of severe acute respiratory syndrome corona virus2 (SARS-CoV-2) and was primarily detected during respiratory outbreak. It was first reported to the World Health Organization on December 31, 2019. On January 30, 2020, the World Health Organization announced the COVID-19 eruption a global health emergency. As of 30-July-2020 17 million confirmed cases have been reported in the world and 16,32,422 cases in India. It is required to identify the infection with high precision rate but there are lots of deficiency in the diagnosing system that may resulted false alarm rate. Initially it could be detected through throat saliva but now it can also be identified thought the impairment in lungs from computerized tomographical imaging technique. This paper reviewed various researches over COVID-19 diagnosis approach as well as the syndrome in respiratory organs.