Intelligent identification method and device of colposcope images

Abstract

The invention provides an intelligent identification method of colposcope images. The method is characterized by comprising the steps that the colposcope images are collected, and suspected lesion areas are selected from the colposcope images; image features of the suspected lesion areas are extracted; multiple standard colposcope images similar to the image features of the suspected lesion areas are searched in a standard colposcope image library; meanwhile, a confirmed lesion type and lesion area of each colposcope image are identified; the selected images of the suspected lesion areas and images of standard colposcope image confirmed lesion areas are displayed in a compared mode in a same screen. According to an intelligent identification of the colposcope images, feature extraction is conducted by only selecting the images of the suspected lesion areas, and image identification is more targeted and higher in speed. Comparison with the standard colposcope images in the same screen is conducted by means of a computer aided diagnosis technology, and the conformance of diagnoses of different doctors on the same image can be effectively improved; an intelligent identification device can also serve as a colposcope learning and training tool to assist in improving an overall cognitive level of the colposcope images in medical profession.

Description

technical field [0001] The invention relates to the technical field of gynecological medical equipment, in particular to an intelligent recognition method and device for colposcope images. Background technique [0002] Cervical cancer is currently the only cancer with a clear etiology among all human cancers, and it is also the only cancer that can be expected to be reduced or eliminated through artificial prevention. Colposcopy can detect cervical erosion, cervical polyps, cervical intraepithelial neoplasia, cervical cancer, vaginitis, vulvar, vaginal or cervical sarcoidosis, viral infection and subclinical papillomavirus infection. Colposcopy not only has application value in diagnosing early cervical cancer and distinguishing tumor and inflammation, but also has special application value in treatment, especially in the treatment of cervical intraepithelial neoplasia. Because colposcopy can see the position and scope of cervical epithelial changes, colposcopy video images...

AI Technical Summary

Problems solved by technology

However, at present, there are not enough gynecologists who understand colposcopy and diagnosis. At the same time, there is a lack of standardized diagnostic criteria in the examination of cervical cancer. Therefore, it is impossible to ensure the correct inspection operation of grassroots medical staff. Wrong image analysis will lead to wrong biopsy of abnormal parts , and thus can be misdiagnosed, missed, or over-biopsied

In addition, since there is no quantitative standard and no unified evaluation standard, even if experts are gathered to evaluate the images examined and collected, different experts may have different evaluation results (affected by subjective factors) for images of the same patient. thereby affecting the accuracy and consistency of assessments

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