Computer aided lung nodule detection on CT data

摘要：

　　A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed inthis 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： active contour adaptive threshold hessian matrix lung nodule detection

作者: Tong Jia Cheng Dong Wu Ying Wei

作者单位: School of Information Science & Engineering, Northeastern University Shenyang, 110819, China;Key Lab School of Information Science & Engineering, Northeastern University Shenyang, 110819, China

会议类型: 国际会议

会议名称: the 2010 International Conference on Frontiers of Manufacturing and Design Science(第一届制造与设计科学国际会议(ICFMD 2010))

会议地点: 重庆

会议语种:英文

页码: 3492-3496

在线出版日期: 2010-12-11（万方平台首次上网日期，不代表论文的发表时间）