Abstract
COVID-19 virus has been a worldwide pandemic since its outbreak from December 2019. While coronavirus has a low fatality rate, it is extremely infectious and escalates quickly; therefore, early detection is very important for preventing its outbreak. The procedures currently used by medical personals for detection is RT-PCR test. However, it includes false negative reports and also is a time taking process; thus an alternate solution is required. Any diagnostic system that can detect COVID-19 infection can be very helpful to medical personals. The features found in COVID-19 images by X-rays are very similar to other lung diseases, which makes it very difficult to differentiate. This review includes the contribution of image processing and machine learning to make swift and precise diagnostic system from lung X-ray images. Such a system can be used by radiologists for making decisions and can be very helpful in prior detection of the virus.
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Biswas, D., Sahoo, A.K. (2022). Review on Automated Detection of COVID-19 from X-Ray Images Using Machine Learning. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore. https://doi.org/10.1007/978-981-19-0901-6_18
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DOI: https://doi.org/10.1007/978-981-19-0901-6_18
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