Precise clinical diagnosis navigation method for orthopedics

Abstract

The invention discloses a precise clinical diagnosis navigation method for the orthopedics department. The method comprises the following steps: obtaining a medical image of a target suspicious patient, and extracting a target image region from the medical image; and S2, performing height summarization on the target image area in the step S1 by using a function template, then performing sliding window matching on the target image area after height summarization by using a function, and when the matching degree meets the requirement, determining that matching succeeds, and obtaining a target matching image. According to the method, a focus diagnosis deep learning framework is constructed, a three-dimensional convolutional neural network is adopted for medical image scanning characteristics,a medical image artificial intelligence model is established, and quick positioning and segmentation of a focus can be realized; therefore, strong subjective consciousness of manual diagnosis and human errors easily occurring during judgment are avoided.

Description

technical field [0001] The invention belongs to the technical field of medical image diagnosis assistance, and in particular relates to a precise clinical diagnosis navigation method for orthopedics. 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 patter...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing technology, the application of medical imaging is still quite rough; the attitude of small hospitals is to directly abandon medical imaging, because the cost is relatively high, and doctors who can understand medical imaging are high-end talents. The gap is relatively large; the attitude of large hospitals towards medical images is that when doctors observe medical images with the naked eye, and then make judgments based on the observation results, the subjective meaning is relatively strong. prone to human error in judgment

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