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Detection of COVID-19 Infection Using Chest X-Ray Images
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Author(s): Kevisino Khate (National Institute of Technology, Nagaland, India)and Arambam Neelima (National Institute of Technology, Nagaland, India)
Copyright: 2023
Pages: 23
Source title:
Machine Learning and AI Techniques in Interactive Medical Image Analysis
Source Author(s)/Editor(s): Lipismita Panigrahi (GITAM University (Deemed), India), Sandeep Biswal (O.P. Jindal University, India), Akash Kumar Bhoi (KIET Group of Institutions, India & Sikkim Manipal University, India), Akhtar Kalam (Victoria University, Australia)and Paolo Barsocchi (Institute of Information Science and Technologies, Italy)
DOI: 10.4018/978-1-6684-4671-3.ch005
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Abstract
Coronavirus (COVID-19) is an infectious viral illness that causes health concerns. It was initially recorded in Wuhan (China). Early diagnosis of the disease aids in preventing its spread. Real-time reverse transcription-polymerase chain reaction (RT-PCR) is a laboratory test method for detecting the COVID-19 virus. To avoid the spread of COVID-19 disease, the researcher researched other techniques of diagnosis. One such technique is the classification of COVID-19 using medical images, notably chest x-ray (x-ray), computed tomography (CT), and ultrasound images. This chapter suggests merging canny edge detection techniques with traditional machine learning and deep learning techniques to diagnose COVID-19.
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