Method and device intelligently identifying characteristics of images collected by colposcope

Abstract

The invention relates to a method and device intelligently identifying characteristics of images collected by a colposcope. Automatic extraction and identification are conducted on a normal saline test colposcope original image red characteristic, an original image green light image blood vessel distribution characteristic and an acetic acid test image white epithelium distribution characteristic; the central position of a cervical opening is positioned through an identifier shape easy to identify, the identifier shape and the position can be automatically identified, and therefore the characteristic images are distributed in four quadrants , the identifiability of the images is improved, the extracted characteristics are presented in a direct and visible mode on this basis. According to the method and device intelligently identifying characteristics of the images collected by the colposcope, a method of the combination of automatic image characteristic identification and automatic image characteristic display is adopted, the complexity of judging and reading of the images is simplified, the amount of information of judging and reading of the images is enriched, the image characteristics which are direct, visible and easy to identify are provided for a doctor, the precision, the uniformity and the repeatability of an image judgment, reading and assessing method are improved, and the dependence on subjective experience is reduced.

Description

technical field [0001] The invention relates to the technical field of medical equipment, in particular to a method and device for intelligently identifying image features collected by a colposcope in electronic colposcope detection. Background technique [0002] Electronic colposcopy can detect cervical erosion, cervical polyps, cervical intraepithelial neoplasia, cervical cancer, vaginitis, vulva, vaginal or cervical sarcoidosis, viral infection and subclinical papillomavirus infection. Electronic 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 electronic colposcopy can see the position and scope of cervical epithelial changes, the video image or computer video image acquisition and storage of electronic colposcopy is very important for the tracking and observation of cervica...

AI Technical Summary

Problems solved by technology

Image interpretation focused on the epithelial blood vessels after using normal saline, and the epithelial changes after using 5% acetic acid solution and 5% compound iodine solution, but ignored the red feature of cervical epithelium in the images collected by colposcopy after using normal saline. Features include the number of quadrants occupied by red, the direction of the clock, and the degree of deviation. In colposcopy, the lack of interpretation of red features will reduce the accuracy of the evaluation results; There are also large deviations in the interpretation of images collected by colposcopy with acetic acid solution, which affects the accuracy, consistency and repeatability of image evaluation

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