Immunochromatography concentration detection method and system based on machine learning

An immunochromatography and concentration detection technology, which is applied in the field of immunochromatography concentration detection, can solve the problems of large differences in different concentration samples and multi-target detection, decreased detection accuracy, and high missed detection rate of weakly positive samples, so as to eliminate sample differences performance, reduce the missed detection rate, and avoid the effect of increasing the decline

Pending Publication Date: 2020-12-11
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a machine learning-based immunochromatographic concentration detection method and system to solve the problem that the traditional sample concentration detection method ha

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  • Immunochromatography concentration detection method and system based on machine learning
  • Immunochromatography concentration detection method and system based on machine learning
  • Immunochromatography concentration detection method and system based on machine learning

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[0044]The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0045] The purpose of the present invention is to provide a method and system for detecting concentration of immunochromatography based on machine learning, which can eliminate the difference of samples, avoid the problem that the detection accuracy decreases with the increase of detection categories, improve the detection accuracy of sample categories, and reduce the Missing rate of weak positive samples.

[0046] In order to make the above ob...

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Abstract

The invention relates to an immunochromatography concentration detection method and system based on machine learning. The method comprises the following steps of: acquiring an immunochromatography test strip image of human chorionic gonadotropin HCG and three indexes of myocardial infarction; preprocessing the immunochromatographic test strip image, and determining the preprocessed immunochromatographic test strip image; constructing a UNet semantic segmentation network according to the preprocessed immunochromatography test strip image; inputting a to-be-detected sample into the UNet semanticsegmentation network, and outputting a target detection area in a foreground and background segmentation mode; and dividing the pixel point intensity in the target detection area into RGB three-channel vector intensity, inputting the RGB three-channel vector intensity into a classification network, and outputting the concentration category of the to-be-detected sample according to the concentration range of the to-be-detected sample. According to the method, the sample difference can be eliminated, the problem that the detection precision is reduced along with the increase of detection categories is avoided, the sample category detection precision is improved, and the missed detection rate of weak positive samples is reduced.

Description

technical field [0001] The invention relates to the field of immunochromatography concentration detection, in particular to a machine learning-based immunochromatography concentration detection method and system. Background technique [0002] Immunochromatography is a rapid detection method using nanoparticles as markers, which is mainly used in medical testing, food safety testing, agriculture and animal husbandry and other fields. As a commonly used rapid detection method, immunochromatographic detection effectively combines the advantages of chromatography and immunoassay. At the same time, immunochromatographic method has the advantages of simple operation, rapid detection, good repeatability, high specificity and sensitivity, and sampling The advantages of small amount, no complicated instruments or only simple instruments are needed in the test strip detection process, and the operators do not need professional training, so the immunochromatographic detection is very s...

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Application Information

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IPC IPC(8): G16H50/20G06T7/00G06K9/34G06K9/46G06N3/04G01N33/53
CPCG16H50/20G06T7/0012G01N33/53G06V10/267G06V10/56G06N3/045
Inventor 王侃秦琪徐昊崔大祥
Owner SHANGHAI JIAO TONG UNIV
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