A Lung Cancer Lesions Dectection Scheme Based on CT Image

摘要：

A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter; Finally, nodule features are extracted and rule-based classifier is used to distinguish true or false positive nodules. Experiment results indicate that this scheme can help radiologist improve the diagnosis efficiency.

关键词： computer-aided detection CT image lung vessel segmentation lung nodule detection active contour model

作者: Jia Tong Wei Ying Wu heng Dong

作者单位: School oflnformation Science & Engineering Key Lab of Medical Image Computing of Ministry of Educati School of Information Science & Engineering Schoolof Information Science & Engineering

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 557-560

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）