Urine cell image classification and identification system and method

Abstract

The invention relates to a urine cell image classification and identification system and a urine cell image classification and identification method. The urine cell image classification and identification system mainly comprises a cell sieve, a passage transformation controller, an image identification classifier and a computer. The urine cell image classification and identification method comprises the following steps of: firstly diluting urine cells, carrying out cell screening by using the cell sieve, rotating the screening tray inside the cell sieve to a molecular sieve with minimal specification, and controlling the screening tray to rotate to a next molecular sieve through the computer to achieve the requirement of enlarging the sizes of screened cells; repeating the step to separate the cells which are contained in urine and different in size, then controlling the on-off of the passage transformation controller through the computer to transmit the screened cells with different sizes to a microscope for image observation and acquisition, then transmitting to the computer, and then treating images to be detected through the image identification classifier by utilizing image preprocessing and separating technologies; and finally completing classification and identification.

Description

technical field [0001] The invention belongs to the technical application field of clinical medicine, and especially has important clinical significance for disease diagnosis, treatment monitoring and health general examination. Background technique [0002] In recent years, with the development of computer technology, digital image processing technology has developed rapidly, and has a wide range of application requirements in various fields such as aerospace, industrial production, resource environment, meteorology and traffic monitoring, culture and education, and has created a huge amount of Social value. In biomedical engineering, for example, the processing and recognition of microscopic images have been well applied in the automatic counting and structure automatic analysis of blood cells and the intelligent diagnosis of cells. With the aid of a microscope, people can observe the microscopic and ultramicroscopic structures of cells, and by analyzing their morphology,...

AI Technical Summary

Problems solved by technology

However, the microscopic observation through the human eye not only easily fatigues the eyes of the observer, and then causes misjudgment errors, but also the subjective observation of the human eye is greatly affected by subjective factors, lacks objective evaluation standards, and has poor scientific rigor

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