Automated Deep Learning-Based Network for Detecting COVID-19 from a Lung CT Scan

Abstract: The corona virus disease 2019 is an emerging worldwide threat to public health. Early detection and diagnosis are critical factors to control the COVID-19 Spreading. For the diagnosis of COVID-19 Computed tomography has an important role in the early diagnosis of COVID-19 as it provides both rapid and accurate results. The lung infection due to COVID-19 has affected a larger human community globally. The COVID-19 disease has adverse effects on the respiratory system, and the infection severity can be detected using a imaging modality. As the COVID-19 continues to spread rapidly across the world, CT has become essentially important for fast diagnosis. Hence it is very important to develop an accurate computer-aided method to assist medical experts to identify COVID-19 infected patients by CT images. Early identification of severely ill patients can enable easy intervention, prevent disease progression and help reduce mortality. The study aims to develop the Artificial intelligence-assisted tool using CT imaging to predict disease severity and further estimate the risk of developing severe disease in patients suffering from COVID-19. CT images can effectively complement the reverse transcription polymerase chain reaction testing. Early and accurate diagnosis of corona virus disease is essential for patient isolation and contract tracing so that the spread of infection can be limited.