Discerning COVID-19 from mycoplasma and viral pneumonia on CT images via deep learning

Sertan Serte, Ali Serener

20202020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)17 citationsDOI

Abstract

Pneumonia is the swelling of the lung tissue and affects one or both lungs. It occurs as a result of infection with organisms such as bacteria, viruses and fungi. Even though its severity is variable, its symptoms usually include cough, difficulty breathing, fever, and chest pain. COVID-19 is a contagious respiratory disease caused by the virus SARS-CoV-2. COVID19 has similar symptoms to viral pneumonia and the patients of COVID-19 may also be subject to secondary bacterial infections. This paper uses several deep learning methods and computed tomography (CT) images to distinguish COVID-19 from other infections such as mycoplasma and bacterial pneumonia, as well as viral pneumonia. The results show that for all three cases, ResNet-50 is one of the best performing architectures.

Topics & Concepts

PneumoniaViral pneumoniaCoronavirus disease 2019 (COVID-19)Mycoplasma pneumoniaLungMedicineVirologyCoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Lung infectionComputed tomographyMycoplasma pneumoniaeVirusDiseaseMicrobiologyPathologyBiologyRadiologyInfectious disease (medical specialty)Internal medicineCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingAI in cancer detection