Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
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New York: Springer US
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English
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New York: Springer US
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Contents
Gold immunochromatographic strip (GICS) has become a popular membrane-based diagnostic tool in a variety of settings due to its sensitivity, simplicity and rapidness. This paper aimed to develop a framework of automatic image inspection to further improve the sensitivity as well as the quantitative performance of the GICS systems. As one of the lat...
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Full title
Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
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TN_cdi_proquest_journals_2919596796
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919596796
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ISSN
1866-9956
E-ISSN
1866-9964
DOI
10.1007/s12559-016-9404-x
