A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

<bold>Objective:</bold> To design and implement an easy-to-use, Point-of-Care (PoC) lateral flow immunoassays (LFA) reader and data analysis system, which provides a more in-depth quantitative analysis for LFA images than conventional approaches thereby supporting efficient decision maki...

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Auteurs principaux:	Min Jing, Donal Mclaughlin, Sara E. Mcnamee, Shasidran Raj, Brian Mac Namee, David Steele, Dewar Finlay, James Mclaughlin
Format:	article
Langue:	EN
Publié:	IEEE 2021
Sujets:	Lateral flow immunoassays (LFA) CMOS image sensor long short-term memory (LSTM) dynamic time warping high-sensitivity C-Reactive Protein Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
Accès en ligne:	https://doaj.org/article/f37ed9ec1ed347629c47b14d33b993e2
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A Novel Method for Quantitative Analysis of C-Reactive Protein Lateral Flow Immunoassays Images via CMOS Sensor and Recurrent Neural Networks

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