CT image-based interpretable pulmonary tuberculosis classification network identification method

Abstract

The invention discloses an interpretable pulmonary tuberculosis classification network identification method based on a CT image, and the method comprises the following steps: obtaining a CT image of the lung of a to-be-detected person, and carrying out the normalization processing and zooming of a pulmonary parenchyma image; establishing and training an interpretable pulmonary tuberculosis classification network, wherein the interpretable pulmonary tuberculosis classification network is established by taking a residual network as a basic network and adding a Dense thought and an improved attention mechanism; and sending the lung parenchyma image which is normalized and scaled to the size of 512 * 512 into the trained interpretable pulmonary tuberculosis classification network, and obtaining and outputting a classification result of the pulmonary tuberculosis of the to-be-detected person and a corresponding class activation thermodynamic diagram in an upper computer. According to the CT image of the to-be-tested person, the classification result of the pulmonary tuberculosis of the to-be-tested person can be obtained, and the corresponding class activation thermodynamic diagram can be output.

Description

technical field [0001] The invention relates to the fields of computer-aided diagnosis and treatment and image recognition, in particular to an interpretable pulmonary tuberculosis classification network recognition method based on CT images. Background technique [0002] Currently, tuberculosis is one of the major infectious diseases threatening health, and its typical manifestation is pulmonary tuberculosis. Tuberculosis is a chronic infectious disease with a long history of endangering human health. It was the most serious epidemic in the early 20th century and even caused millions of deaths around the world. At present, my country is one of the countries with a high burden of tuberculosis epidemics. Because tuberculosis is highly contagious and lethal, early auxiliary diagnosis of tuberculosis can help doctors find early tuberculosis patients, conduct early diagnosis and treatment, and reduce infection rate and mortality, so it has very important clinical significance. ...

AI Technical Summary

Problems solved by technology

In CT images, pulmonary tuberculosis has the characteristics of polymorphism, multiple sites, multiple nodules, and cavities, and the mixture of various forms makes it difficult to identify, and medical staff need to read a large number of CT image sequences of lungs of different patients. Under the pressure of work, medical staff are prone to fatigue, resulting in missed diagnosis or even misdiagnosis

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