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Researchers at the University of Maryland, Baltimore County (UMBC) have developed a method of generating high-quality chest X-ray images that can be used to diagnose COVID-19 more accurately than current methods. The research team, led by Sumeet Menon, a Ph.D. student in computer science at UMBC, will publish its findings in the proceedings of the IEEE Big Data 2020 Conference to be held virtually in December. The availability of data is one of the most important aspects of machine learning and our research has taken an incremental theoretical step towards generating data using the MTT-GAN, explains Menon.
The need for rapid and accurate COVID-19 testing is high, including testing that can determine if COVID-19 is impacting a patient s respiratory system. Many clinicians use x-ray technology to classify images of possible cases of COVID-19, but the limited data available makes it more challenging to classify those images accurately.