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Blood disease leukocyte scatter diagram similarity analysis method based on structural analysis

A technology of similarity analysis and structure analysis, which is applied in the field of similarity analysis of white blood cell scatter diagrams of blood diseases based on structure analysis, can solve problems such as classification and recognition, achieve the effect of reducing the need for microscopic examination and improving the level of automation

Active Publication Date: 2020-06-12
THE FIRST AFFILIATED HOSPITAL OF CHONGQING MEDICAL UNIVERSITY
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Problems solved by technology

However, how to quickly and effectively classify and identify white blood cell scattergrams of different types of blood diseases requires comparison and analysis of white blood cell scattergrams of different categories and the same category, which is currently a difficult problem to solve manually

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  • Blood disease leukocyte scatter diagram similarity analysis method based on structural analysis
  • Blood disease leukocyte scatter diagram similarity analysis method based on structural analysis
  • Blood disease leukocyte scatter diagram similarity analysis method based on structural analysis

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Embodiment Construction

[0047] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0048] Embodiments of the present invention provide a method for similarity analysis of blood leukocyte scatter diagrams based on structural analysis, such as figure 1 shown, including:

[0049]S1. Extract the cell count results and white blood cell scattergrams of various blood diseases detected by the blood cell analyzer, and perform manual staining and microscope inspection on the cell count results and white blood cell scattergrams to confirm the categories of blood diseases, and classify them according to the categories of blood diseases store and construct training set;

[0050] S2. Comparing the white blood cell scattergrams of each category in the training set through a structural similarity analysis algori...

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Abstract

The invention discloses a blood disease leukocyte scatter diagram similarity analysis method based on structural analysis, and belongs to the technical field of blood cell classification. The method comprises the following steps: extracting cell counting results and leukocyte scatter diagrams of various blood diseases detected by a hematology analyzer, carrying out artificial staining microscopicexamination to confirm the types of the blood diseases, carrying out classified storage according to the types of the blood diseases, and constructing a training set; comparing the leukocyte scatter diagrams of each category in the training set through a structural similarity analysis algorithm to obtain similarity; analyzing the similarity to obtain a characteristic leukocyte scatter diagram anda similarity range of each type of blood diseases, and taking the characteristic leukocyte scatter diagram as an original image; the to-be-detected image detected by the hematology analyzer is compared through the original image and the similarity range of each type of blood diseases, automatic classification of images collected by the hematology analyzer is achieved, and the effect of quickly andaccurately analyzing and classifying leukocyte scatter diagrams of the blood diseases is achieved.

Description

technical field [0001] The invention relates to the technical field of blood cell classification, in particular to a method for analyzing the similarity of white blood cell scatter diagrams of blood diseases based on structural analysis. Background technique [0002] The white blood cell scatter diagram is the important information about the white blood cell classification of the automatic blood cell analyzer. The instrument uses the principle of flow cytometry to detect the scattered light and fluorescent signal of the white blood cells after fluorescent staining, and obtains the white blood cell classification information. Normal blood contains five Leukoid cells are neutrophils, lymphocytes, monocytes, eosinophils, and basophils. When there are abnormal cells in the blood, the normal or abnormal cells can be distinguished by the difference in signal. Due to the different types of abnormal cells in the blood, the scattered light and fluorescent signals will be different, a...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/00
CPCG06T7/0012G06T2207/10056G06T2207/30024G06T2207/20081G06V20/698G06V2201/03G06F18/22Y02A90/10
Inventor 王海霞丁唤男
Owner THE FIRST AFFILIATED HOSPITAL OF CHONGQING MEDICAL UNIVERSITY
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