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A joint detection method and system for abnormality of white blood cell scattergram

A combined detection and white blood cell technology, applied in the field of white blood cell detection, can solve the problems of low accuracy, manpower consumption, and high missed detection rate, and achieve the effect of reducing the missed detection rate, improving reliability, and good judgment effect

Active Publication Date: 2021-03-02
BEIJING XIAOYING TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing detection methods are mainly manual detection, which is labor-intensive and time-consuming; the existing instrument detection has a high missed detection rate and a low accuracy rate

Method used

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  • A joint detection method and system for abnormality of white blood cell scattergram
  • A joint detection method and system for abnormality of white blood cell scattergram
  • A joint detection method and system for abnormality of white blood cell scattergram

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Experimental program
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Effect test

Embodiment 1

[0056] combine Figure 4 , the part inside the box is the abnormal part. The result given by the neural network model is negative, and the given confidence is 0.87, the result of the prior knowledge is positive, the given confidence is 0.66, and the weight of the prior knowledge is 2, then the final prior knowledge confidence is 0.66*2=1.32, which is higher than the confidence level of the neural network, the scatter plot is judged to be positive.

Embodiment 2

[0058] The neural network judges it as positive with a confidence level of 0.5, and the prior knowledge judges it as negative with a confidence level of 0.8. If the system uses a sensitivity value of 0.4 to prevent the positive data from being missed, then once there is a neural network or prior knowledge, either party will be Positive and the confidence level is higher than the sensitivity value (the neural network confidence level is 0.5 higher than the sensitivity value), the result is positive.

[0059] The present invention first collects a large amount of white blood cell scattergram data, and adds labels to the data according to the doctor's judgment. On the one hand, the pixel information in the image is counted, and according to the distribution of different color scatter points on the image, appropriate judgment conditions are set up for classification; on the other hand, the data is divided into training set, verification set and test set. The labeled data is used a...

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Abstract

The invention relates to a combined detection method and system for the abnormality of the white blood cell scatter diagram. The convolutional neural network model is used to judge the abnormality of the white blood cell scatter diagram, and the judgment result is output; If the constraint condition of prior knowledge construction is met, the statistical result is normal, otherwise the statistical result is abnormal; when the output result of the convolutional neural network model is normal, and the statistical result is normal, the output white blood cell scatter diagram detection result is normal, otherwise The output results are compared according to whether the confidence value exceeds the sensitivity threshold or weighted. The present invention adopts the convolutional neural network to carry out supervised learning, comprehensively judges prior knowledge, and jointly detects abnormal pictures of white blood cells. The prior knowledge judgment can be flexibly adjusted, and the convolutional neural network has a good effect on image judgment. The combination of the two effectively reduces the missed detection rate of abnormal pictures, and the false positive rate is also within an acceptable range.

Description

technical field [0001] The invention relates to the technical field of white blood cell detection, in particular to a combined detection method and system for abnormal white blood cell scattergrams. Background technique [0002] Detection by flow cytometry and other physical and chemical properties of biological particles. After the blood sample is sucked and diluted, it is chemically stained, and the blood cells are lined up in a row under the reagent package in the sheath flow and pass through the small detection hole, and the semiconductor laser beam is irradiated on the blood cells. When blood cells pass through the laser channel, the light beam produces light scattering in different directions of each blood cell. By detecting the scattered light and converting the light signal into an electrical pulse, information about the size and material of the cell can be obtained, and then a two-dimensional image can be drawn. scatterplot. [0003] In the scatter diagram, the wh...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/90G06T7/73G06N3/04
CPCG06T7/0012G06T7/90G06T7/73G06T2207/10056G06T2207/20081G06T2207/30242G06N3/045
Inventor 李柏蕤吴卫赵天赐李建英刘丹连荷清
Owner BEIJING XIAOYING TECH CO LTD