Disease association method of peripheral blood cell morphology automatic detection system

Abstract

The invention relates to the technical field of peripheral blood cell detection, and discloses a disease association method of a peripheral blood cell morphology automatic detection system. The methodcomprises the following steps: scanning a peripheral blood cell smear; establishing a normal peripheral blood cell morphological standard and an abnormal peripheral blood cell morphological standard;acquiring a detection range set by a human-computer interaction operating system; performing feature extraction on the peripheral blood cell morphology of the scanned picture by using a convolutionalneural network method in a detection range; comparing, classifying and counting the extracted peripheral blood cell characteristics, and calculating sampling counting data; establishing an existing disease association database, associating the finally calculated data with the existing diseases, performing association analysis, and combining to obtain a final association result. According to the invention, the morphology of each cell in the peripheral blood cells can be accurately identified, and classified counting is carried out, so that the disease association result accuracy of the peripheral blood cell morphology automatic detection system is higher.

Description

technical field [0001] The invention relates to the technical field of peripheral blood cell detection, in particular to a disease association method for an automatic peripheral blood cell morphology detection system. Background technique [0002] Clinically, the morphological detection of peripheral blood cells is of great significance. Among them, the morphological changes of red blood cells mainly include size, shape, abnormal staining and abnormal structures in the cells, such as stippling red, Howell bodies, Kapo rings, and nucleated red blood cells. etc., can be seen in anemia, myelodysplastic syndrome, erythroleukemia, myelofibrosis, liver cirrhosis, multiple myeloma and other diseases. Leukocyte morphological changes mainly include quantitative changes, neutrophils appear nuclear shift to the left, nuclear shift to the right, toxic changes, and immature cells; leukocyte morphological examination is helpful for the diagnosis and differential diagnosis of acute and chr...

AI Technical Summary

Problems solved by technology

[0005] However, in the disease association of the automatic peripheral blood cell morphology detection system, because the current peripheral blood cell detection and analysis system can only provide the approximate distribution of the number of various cells in normal blood samples, it is still unable to accurately distinguish various types of primitive cells, immature cells, and The internal structure of the cell, such as the shape of the nucleus, the thickness of the chromatin, the presence or absence of nucleoli, the coloring of the cytoplasm, the nature of the particles in the plasma, and the presence or absence of inclusions, etc., lead to the accuracy of the disease association results of the peripheral blood cell morphology automatic detection system not tall