摘要
肺癌是一种众所周知的疾病,也是当今最常见的癌症之一。经过调查发现,以往几十年里肺癌的死亡率及其发病率一直高居榜首,给人们带来了极大的恐慌。恶性肿瘤的治疗需要及时的发现治疗,否则到了后期更难处理。肺癌早期一般表现为肺结节,其主要检测方式为CT影像。而医院每天产生的大量CT图像不仅加重了医生的负担,还容易造成漏诊、误诊的情况。为减少影像科医生的阅片时间,提高诊断的准确率,分析利用计算机辅助诊断(CAD)技术来帮助医生筛选出可能患有肺癌的CT图像。
Lung cancer is a well-known disease and one of the most common cancers today. Through investigation, it has been found that the mortality and morbidity of lung cancer have been in the first place in the past few decades, which has brought great panic to people. The treatment of malignant tumor needs to be discovered and treated in time, otherwise it will be more difficult to deal with in the later stage. In the early stage of lung cancer, pulmonary nodules are commonly seen, and the main detection methods are CT images. And the large amount of CT images produced by the hospital not only aggravates the burden of doctors, but also leads to misdiagnosis and misdiagnosis. In order to reduce the reading time of radiologists, improve the accuracy of diagnosis, analyzes the use of Computer Aided Diagnosis(CAD) technology to help doctors select CT images may be suffering from lung cancer.
基金
海南医学院创新创业训练计划项目(No.HYCX2014068
No.HYCX20150086)
关键词
CAD
肺结节分割
特征提取
分类判别
Computer Aided Diagnosis
Segmentation of Lung Nodules
Feature Extraction
Classification and Discrimination