Pneumonia Detection: An Efficient Approach Using Deep Learning

Abstract

Pneumonia is one of the largest infectious diseases that cause death in children and elderly people across the globe. Pneumonia impacts all the elderly and young people's families and children everywhere but is most prevalent in Sub-Saharan Africa and South Asia. In December 2019 Wuhan, a city of China was affected by deadly, gruesome Pneumonia which was declared a pandemic by World Health Organisation. But the reason for the outbreak was not clear to everyone. Later, the doctors identified the disease as a new species of coronavirus, also currently known as COVID-19. The main motivation behind this research was to identify Pneumonia just by using the X-Ray images of the patients. As doctors must do a lot of certain tests to identify if the patient has Pneumonia or not. To solve the cumbersome problem, an ensemble of two deep learning models is developed, to make the work of the doctors simpler. In this paper, a comparison between previously written relevant research papers is done and concluded with an ensembled deep learning model to achieve a remarkable test data accuracy or unseen data accuracy.