Anatomical variation recognition prompting method and system based on artificial intelligence

Abstract

The invention relates to an artificial intelligence-based anatomical variation recognition prompting method and system, and the method comprises the steps: collecting an endoscope image in real time, and obtaining real-time organ segmentation data and instrument key point data according to an endoscope organ segmentation model and an instrument key point detection model; acquiring a position relationship between the variation structure and the surrounding organs by analyzing the preoperative iconography image, extracting the tissue segmentation data of the surrounding organs of the variation structure of the iconography image for comparison, and judging the position of the variation structure; detecting the position information of the key points of the instrument and the variation structure in real time, prompting the variation anatomical structure area when the instrument operates in the variation anatomical structure area, and operating according to the prompt. According to the method, by establishing the corresponding relation between the imaging examination and the endoscopic surgery visual field, the vein pipeline structure of the key operation in the surgery is accurately and effectively positioned, and important conditions are provided for more accurate operation of the surgical operation.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to an artificial intelligence-based anatomical variation identification and prompting method and system. Background technique [0002] In the surgical operations of various specialties, the existence of anatomical variation is a major problem that is generally faced in various surgical procedures. Once it occurs, it is very likely to cause damage to the variable structure, resulting in bleeding, pipeline damage, and nerve damage during the operation. Injury, as well as adverse events such as postoperative bleeding, infection, loss of related functions, and even unnecessary postoperative disability and death, make the operation have higher risks and potential doctor-patient disputes. [0003] On the one hand, due to the diversity, rarity, and unpredictability of anatomical variations, the existence and types of anatomical variations are often identified in medicine t...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art and provide a method and system for identifying and prompting anatomical variations based on artificial intelligence, which solves the problem that doctors cannot foresee or judge the existence and location of anatomical variations due to various reasons. The problem of variable structure damage

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