COVID-Xpert: An AI Powered Population Screening of COVID-19 Cases Using Chest Radiography Images
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With the increasing demand for millions of COVID-19 tests, Computed Tomography (CT) based test has emerged as a promising alternative to the gold standard RT-PCR test. However, it is primarily provided in emergency department and hospital settings due to the need for expensive equipment and trained radiologists. The accurate, rapid yet inexpensive test that is suitable for population screening of COVID-19 cases at mobile, urgent and primary care settings is urgently needed. Here we design a deep convolutional neural network (CNN) that extracts X-ray Chest Radiography (XCR) imaging features from large scale pneumonia and normal training cases and refine them with a small amount of COVID-19 cases to learn the imaging features that are capable of automatically discriminating COVID-19 cases from pneumonia and/or normal XCR imaging cases. We demonstrate the strong potential of our XCR based population screening approach, COVID-Xpert, for detecting COVID-19 cases through an impressive experimental performance. The trained models and information of the compiled data set are available from https://github.com/xinli0928/COVID-Xray.
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