基于机器学习技术对心肌桥识别算法的设计  

The Design of Myocardial Bridges Recognition Algorithm Based on Machine Learning

作　　者：曾宏翔 Zeng Hongxiang(Neusoft Medical Systems Co.,Ltd.,Shenyang,China)

机构地区：[1]东软医疗系统股份有限公司,辽宁沈阳

出　　处：《科学技术创新》2024年第21期75-78,共4页Scientific and Technological Innovation

摘　　要：利用机器学习技术设计一种可以处理CT影像数据的心肌桥识别算法。机器学习技术是人工智能的一个子集,它可以通过数据模型与观察数据进行拟合来做出决策,帮助人们在某些特殊领域完成高难度任务。心肌桥的检验通常借助于冠脉成像,并需要有资历的医生判断。本研究旨在设计一种心肌桥识别算法,应用在冠脉造影数据中,并可以识别出疑似心肌桥感兴趣区域。Design a myocardial bridge recognition algorithm using machine learning technology that can process CT image data.Machine learning technology is a subset of artificial intelligence that can make decisions by fitting data models with observed data,helping people complete difficult tasks in certain special fields.The examination of myocardial bridges usually relies on coronary computer tomography angiography and requires the judgment of qualified doctors.The aim of this essay is to design a myocardial bridge recognition algorithm that can be applied to coronary angiography data and identify regions of interest for suspected myocardial bridges.

关 键 词：机器学习 冠脉成像 心肌桥 图像识别 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]