图像分割算法在X线胸片分析中的应用研究  

Research on Application of Image Segmentation Algorithm in Chest X-ray Analysis

作　　者：陈冠泽 傅城州 CHEN Guan-ze;FU Cheng-zhou(School of Medical Information Engineering,Guangdong Pharmaceutical University,Guangzhou 510006,China)

机构地区：[1]广东药科大学医药信息工程学院,广东广州510006

出　　处：《电脑与信息技术》2022年第1期17-20,共4页Computer and Information Technology

基　　金：广东省普通高校青年创新人才类项目(项目编号:2019KQNCX060)。

摘　　要：正常的X线胸片主要包括心脏、肺部、骨骼和气管这几种不同组织系统的信息,且器官之间有不同程度的重叠,将这些无关区域从胸片中分割去除,分割出肺部组织,有助于对病变组织进行定性定量的分析,这是X线胸片肺部疾病计算机辅助诊断,图像检索等重要步骤之一。文章主要利用Python语言实现开源医学图像爬取并采用典型分割方法进行处理,最后搭建一个应用平台进行实验。The normal chest X-ray mainly includes the information of the heart,lungs,bones and trachea,and there are different degrees of overlap between the various organs.These unrelated areas are segmented and removed from the chest X-ray.Lung tissue is helpful for qualitative and quantitative analysis of diseased tissues.This is one of the important steps in the computer-aided diagnosis of lung diseases on chest X-ray and image retrieval.This paper mainly uses Python language to achieve open-source medical image crawling and uses typical segmentation methods for processing,and finally builds a related software platform.

关 键 词：X线胸片 图像分割 图像爬取 PYTHON 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]