Project Description: In this project we have developed an algorithm to detect covid infected human using chest CT scan. ARS-CoV-2 is a novel virus, responsible for causing the COVID-19 pandemic that has emerged as a pandemic in recent years. Humans are becoming infected with the virus. In 2019, the city of Wuhan reported the first-ever incidence of COVID-19. COVID-19 infected people have symptoms that are related to pneumonia, and the virus affects the body’s respiratory organs, making breathing difficult. According to our system chest CT scan images are given as the input. First CT scan of normal, covid infected, lung opacity infected, and viral pneumonia is inserted to pictoblox machine learning environment then trained and created as system to classify between mentioned diseases.
Project Theme: Strengthen the Health Infrastructure
