Classification and segmentation of covid 19 ground glass opacification in lung ct images using deep learning techniques

Abstract

SARS-type respiratory tract infections have become one of the predominant health conditions in recent years. These infections involve the upper and lower respiratory systems. Isolation of infected persons and effective screening is a critical step in fighting against the COVID-19 disease. RTPCR test, considered one of the standard procedures for COVID-19 diagnosis, has its drawbacks, including a long wait time for obtaining the test results. Hence, early detection of COVID-19 using imaging techniques such as X-rays and CT are used for fast screening. Image processing techniques such as classification and segmentation play a significant role in biomedical analysis. Recently, deep learning techniques have been widely utilized in medical image processing. newline