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http://dx.doi.org/10.9718/JBER.2019.40.3.97

Development of Automated Rapid Influenza Diagnostic Test Method Based on Image Recognition  

Lee, Ji Eun (Defense Agency for Technology and Quality)
Joo, Yoon Ha (Interdisciplinary Program in Bioengineering, Graduate School, Seoul National University)
Lee, Jung Chan (Department of Biomedical Engineering, Seoul National University College of Medicine)
Publication Information
Journal of Biomedical Engineering Research / v.40, no.3, 2019 , pp. 97-104 More about this Journal
Abstract
To examine different types of influenza diagnostic test kits automatically, automated rapid influenza diagnostic test method based on image recognition is proposed in this paper. First, the proposed methods classify a variety of the rapid influenza diagnostic test kit based on support vector machine that analyzes the kits' feature point. Then, to improve the accuracy of test, the proposed methods match the histogram of both the target image of influenza kit and the input image of influenza kit for minimizing the effect of environment factors, such as lighting and exposure variations. And, to minimize the effect from composition of the hand-helds devices, the proposed methods extract the feature point and match point-by-point between target image of influenza kit and input image of influenza kit. Experimental results of 124 experimental group show that the proposed methods significantly have effectiveness, which shows 90% accuracy in moderate antigen, for the preliminary examination of influenza, and provides the opportunity for taking action against influenza.
Keywords
Influenza; Biosensor; Influenza diagnostic test; Image analysis system; Immunochromatography; Immunoassay; Hand-held devices;
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