Computer Aided Diagnosis of Pneumonia from Chest Radiographs

摘要

Pneumonia is a deadly chest disease and is a major culprit behind numerous deaths every year. Chest radiographs (CXR) are commonly used for quick and cheap diagnosis of chest diseases. The interpretation of CXR’s for diagnosing pneumonia is difficult. This has created an interestin computer-aided diagnosis (CAD) for CXR images. In this study, a brief review of literature based on computer aided analysis of chest radiograph images for identification of pneumonia using different machine learning and deep learning models is presented and a comparison of these differenttechniques has been provided. In addition, the study also presents various publicly available chest X-ray data sets for training, testing and validation of deep learning models.