Machine Learning Paradigm for Internet of Things Applications

14Chest X-Ray for Pneumonia Detection

Sarang Sharma, Sheifali Gupta* and Deepali Gupta

Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

Abstract

Pneumonia is a medical condition that is related to lung inflammation. It affects pulmonary alveolus or alveoli, which are tiny air sacs found inside the lung parenchyma. It is responsible for exchanging carbon dioxide with oxygen. Pneumonia is generally caused by bacteria or viral infection. If untreated, it would lead to cystic fibrosis, chronic obstructive pulmonary disease, sickle cell disease, asthma, diabetes, and heart failure. Therefore, in order to diagnose this disease, chest X-ray, blood tests, sputum tests, computerized tomography, pulse oximetry, and pleural fluid culture are implemented. However, both doctors and radiologists rely heavily on its chest X-ray results. However, these techniques are time consuming and sometimes yield inaccurate results. Therefore, to avoid such lengthy and time consuming techniques, deep learning algorithms along with machine learning classifiers are implemented that are less time consuming, require less sophisticated equipment, yield results with greater accuracy, and are easy to implement. This paper focuses on deep learning architecture which makes use of Xception architecture that is based entirely on depth-wise separable convolutional layers. It utilizes machine learning classifier algorithms to extract pneumonia from healthy images and ...