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20 August 2020 Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray images
Cuong Do, Lan Vu
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Proceedings Volume 11511, Applications of Machine Learning 2020; 1151112 (2020) https://doi.org/10.1117/12.2575919
Event: SPIE Optical Engineering + Applications, 2020, Online Only
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Abstract
By the time of the abstract, the coronavirus COVID-19 is affecting 213 countries with more than 9.4 million cases, and more than 480 thousand deaths. In the US it has been confirmed that there are more than 2.4 million COVID-19 cases and approximately 123 thousand related deaths, according to Worldometer. The Wuhan originated COVID-19 has become a global challenge since late December 2019. As control measures lift, life and businesses start going to open, the coronavirus pandemic continues to grow. In this research, we propose a Deep Learning model that recognizes COVID-19 cases using X-ray images (DeepCOVID-19). The model would help physicians to be more confident by having a second opinion in assessing patients. An implementation of the model would help countries where there is shortage of test kits, while X-ray devices are widely available.
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Cuong Do and Lan Vu "Application of deep learning model (DeepCOVID-19) for detecting COVID-19 cases using chest x-ray images", Proc. SPIE 11511, Applications of Machine Learning 2020, 1151112 (20 August 2020); https://doi.org/10.1117/12.2575919
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KEYWORDS
X-rays
X-ray imaging
Convolutional neural networks
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