Method for identifying, extracting and labeling graphic elements in medical image

Abstract

The invention provides a method for identifying, extracting and labeling graphic elements in a medical image. According to the method, the graphic elements in the medical image are further identified, extracted and labeled, and the information is output and analyzed, so that the situation that only single graphic information of the medical image is output for a doctor to judge by himself or herself is avoided, and the technical problem of identifying, extracting and labeling the graphic elements in the medical image is solved. According to the method, the influence of personal factors or errors on manual reading of the medical image is avoided, the output speed of the medical image is improved, the method can be suitable for identifying, extracting and labeling graphic elements in the AI medical image, image features of basic lesions are utilized, result output of the medical image is assisted, and more accurate and comprehensive medical information is obtained. The method is suitable for identifying, extracting and marking the graphic elements in the medical image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to methods for identifying, extracting and labeling graphic elements in AI medical images. Background technique [0002] Medical imaging refers to the technology and processing process of obtaining internal tissue images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. It includes the following two relatively independent research directions: medical imaging system and medical image processing. The former refers to the process of image formation, including the research on imaging mechanism, imaging equipment, imaging system analysis and other issues; the latter refers to the further processing of the obtained image, the purpose of which is to make the original image that is not clear enough Restoration, or to highlight certain feature information in the image, or to classify the image as a pattern, etc. [0003...

AI Technical Summary

Problems solved by technology

Obviously, the amount of information recorded in a single medical image is very large, and there is usually more than one medical image for each part of each disease. If traditional methods of labeling and manual interpretation are still used at this time, it is inevitable that there will be omissions and errors in the diagnostic results, and the accuracy of medical images Reading and discrimination are usually affected by the experience and subjective judgment of the radiologist. When the radiologist is inexperienced or overly sticks to his own opinion, errors are likely to occur, thus affecting the doctor's judgment on patient information