Deep learning for mycoplasma pneumonia discrimination from pneumonias like COVID-19
Ali Serener, Sertan Serte
Abstract
Mycoplasma pneumonia is an atypical bacterial pneumonia with dry cough as its most common symptom. It may occur as a coinfection along with the newly discovered COVID19. It is difficult in medical diagnosis to distinguish mycoplasma pneumonia from COVID-19, a disease that may cause pneumonia itself. It is also difficult due to similar symptoms to distinguish mycoplasma pneumonia from typical viral pneumonia. This paper aims to lessen these diagnosis difficulties by using several deep learning methods on computed tomography (CT) images to classify them as having mycoplasma pneumonia, typical viral pneumonia or COVID-19. The analyses of this paper indicate ResNet-18 and MobileNet-v2 architectures perform well during the differentiation of these diseases.