Cervical cancer precancerous lesion diagnosis method based on spectral characteristic parameters

Abstract

The invention discloses a cervical cancer precancerous lesion diagnosis method based on spectral characteristic parameters, and belongs to the field of cervical cancer precancerous lesion screening methods. The spectrum acquisition system is used for acquiring the diffuse reflection spectrum of the cervical tissue, the characteristic parameters are calculated from the spectral data, and the normaltissue and the diseased tissue are distinguished based on the characteristic parameters. Cervical tissue spectral data collected in an experiment are analyzed, screening and preprocessing are carriedout firstly, characteristic parameters are calculated in a characteristic wave band, and then a classification model is established by utilizing the characteristic parameters. The method is completely based on the prediction result of the spectral feature model, does not need to depend on subjective judgment of doctors, does not need high-level technical operators, and provides a more suitable screening means for areas lack of medical resources.

Description

technical field [0001] The invention relates to a method for diagnosing cervical precancerous lesions based on spectral characteristic parameters, and belongs to the field of screening methods for cervical precancerous lesions. Background technique [0002] In China, cervical cancer is the second most common malignant tumor among young and middle-aged women, seriously endangering women's lives and health. Cervical cancer is currently the only cancer with a clear etiology, and it is curable. Early screening and prevention can effectively block the development of cervical cancer. Infection with high-risk human papillomavirus (HPV) for more than two years without treatment may develop into cervical intraepithelial neoplasia (CIN), and high-grade cervical lesions may further develop into cervical cancer, from HPV infection to cervical cancer It usually takes 10-20 years. Intracervical neoplasia can be divided into three grades, CINⅠ, CINⅡ, and CINⅢ. The higher the grade, the l...

AI Technical Summary

Problems solved by technology

The above methods have problems such as low sensitivity and specificity, long waiting period, and painful inspection process. In addition, some methods rely on the operator's technical level and the subjective judgment of the physician, and their accuracy is unstable, and they are not suitable for resource-shortage environments. small hospital

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