Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 pa
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SHORT RESEARCH AND DISCUSSION ARTICLE
Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients Sachin Sharma 1 Received: 4 April 2020 / Accepted: 14 July 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it presents several unique features also. In the absence of specific vaccine for COVID-19, it is essential to detect the disease at an early stage and isolate an infected patient. Till today there is a global shortage of testing labs and testing kits for COVID-19. This paper discusses about the role of machine learning techniques for getting important insights like whether lung computed tomography (CT) scan should be the first screening/alternative test for real-time reverse transcriptase-polymerase chain reaction (RT-PCR), is COVID-19 pneumonia different from other viral pneumonia and if yes how to distinguish it using lung CT scan images from the carefully selected data of lung CT scan COVID-19-infected patients from the hospitals of Italy, China, Moscow and India? For training and testing the proposed system, custom vision software of Microsoft azure based on machine learning techniques is used. An overall accuracy of almost 91% is achieved for COVID-19 classification using the proposed methodology. Keywords Coronavirus . COVID-19 . Machine learning . Computed tomography (CT) scan . Pneumonia . Polymerase chain reaction (PCR)
Introduction and literature review The death toll from the new coronavirus surpassed 6000 in Europe, while the worldwide deaths surged past 12,000 according to data collected by the Johns Hopkins University in the USA up to the date when these data were shared to this literature. More than 299,000 people have been infected, while some 91,500 have recovered. As per the definition and information shared by World Health Organization (WHO), coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. People having medical problems like heart disease, diabetes and high blood pressure are more likely to develop serious illness. Currently, there are no specific vaccines or treatments for COVID-19. As per the information shared by Radiological Society of North America (RSNA), X-ray images of a Chinese person who was killed by COVID-19 show what the virus does to
Responsible editor: Philippe Garrigues * Sachin Sharma [email protected] 1
Department of Engineering and Computing, Institute of Advanced Research, Gandhinagar, India
sufferers' lungs. Taking a deep look at images, it shows white patches in the lower corners of the lungs, which indicate what radiologists say ground glass opacity—the partial filling of air spaces. Similar symptoms were seen in case of 54-year-old woman caught with COVID. Figures 1 and 2 show the images of it. So, if some distinctive patterns are there, machine learning techniques can be used for early detection of it. Studies related to understa
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