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Researchers use machine learning to develop more accurate COVID-19 diagnostic tool

Researchers use machine learning to develop more accurate COVID-19 diagnostic tool
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Sumeet Menon , University Of Maryland , Generative Adversarial Networks , Baltimore County , Mean Teacher , Transfer Generative Adversarial Networks , Generating Realistic , Transfer Learning , சுமீட் மேனன் , பல்கலைக்கழகம் ஆஃப் மேரிலாந்து , பால்டிமோர் கவுண்டி , சராசரி ஆசிரியர் , ஜெநரேடிஂக் ரியலிஸ்டிக் , பரிமாற்றம் கற்றல் ,

UMBC researchers use machine learning to develop more accurate COVID-19 diagnostic tool


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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. ....

Sumeet Menon , University Of Maryland , Generative Adversarial Networks , Baltimore County , Mean Teacher , Transfer Generative Adversarial Networks , சுமீட் மேனன் , பல்கலைக்கழகம் ஆஃப் மேரிலாந்து , பால்டிமோர் கவுண்டி , சராசரி ஆசிரியர் ,