A Supervised Framework for COVID-19 Classification Using FCNN

Abstract

One or both of the lungs are affected by pneumonia, which is the enlargement of the lung tissue. Infection with organisms including bacteria, viruses, and fungi leads to its occurrence. Although its severity varies, its typical symptoms include coughing, breathing problems, fever, and chest pain. The respiratory illness COVID-19 is spreadable and is brought on by the SARS- CoV-2 virus. COVID-19 has similar symptoms to viral pneumonia and the patients of COVID-19 may also be subject to secondary bacterial infections. This study separates COVID-19 from other illnesses like mycoplasma, bacterial pneumonia, viral pneumonia, and other infections using a variety of deep learning techniques and computed tomography (CT) images. The results show that for all three cases, FCNN is one of the best performing architectures.