Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

In this work, COVID-19 infection is classified using deep learning techniques with 3D Volumetric Images. Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment.  Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness. Under such circumstances, 3D volumetric imaging has become a valuable tool for diagnosis and prognosis of COVID-19 patients. In this study, we propose a new method for detecting and classifying COVID-19 infection from 3D volumetric lung images. For the detection and classification process, we have used 3D volumetric image processing and deep learning techniques respectively.

Keywords: 3D Volumetric Image Processing, Classification, Coronavirus Disease (COVID-19), Deep Learning Techniques, Detection.