A novel lung cancer detection algorithm for CADs based on SSP and Level Set
Ye, Xiangyun; Song CH(宋纯贺); Dou, Shengchang; Zhao, Hai; Cao, Peng; Zhu, Hongbo; Pak, Chun-Hyok
刊名TECHNOLOGY AND HEALTH CARE
2017
卷号25期号:S1页码:S345-S355
关键词Image segmentation malignant nodule detection super-pixels level-set
ISSN号0928-7329
通讯作者Dou, Shengchang
产权排序3
中文摘要The fuzzy degree of lung nodule boundary is the most important cue to judge the lung cancer in CT images. Based on this feature, the paper proposes a novel lung cancer detection method for CT images based on the super-pixels and the level set segmentation methods. In the proposed methods, the super-pixels method is used to segment the lung region and the suspected lung cancer lesion region in the CT image. The super-pixels method and a level set method are used to segment the suspected lung cancer lesion region simultaneously. Finally, the cancer is determined by the difference between results of the two segmentation methods. Experimental results show that the proposed algorithm has a high accuracy for lung cancer detection in CT images. For gross glass nodule, pleural nodule, the vascular nodules and solitary nodules, the sensitivity of the detection algorithm are respectively 91.3%, 96.3%, 80.9% and 82.3%.
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology
类目[WOS]Health Care Sciences & Services ; Engineering, Biomedical
研究领域[WOS]Health Care Sciences & Services ; Engineering
会议名称International Workshop on Biological Mechanics held in conjunction with the 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB)
关键词[WOS]COMPUTER-AIDED DETECTION ; GRADIENT VECTOR FLOW ; NODULE DETECTION ; CT IMAGES ; SEGMENTATION ; TOMOGRAPHY
收录类别SCI ; CPCI(ISTP)
出版地AMSTERDAM
会议地点Hangzhou, CHINA
会议日期Augest 1-4, 2016
语种英语
出版者IOS PRESS
WOS记录号WOS:000406157200039
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/20815]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位1.School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China
2.Electronic Engineering faculty, Kim Chaek University of Technology, Pyongyang 999093, DPRK
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
4.School of Public Foundation, China Medical University, Shenyang, Liaoning, China
5.Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
推荐引用方式
GB/T 7714
Ye, Xiangyun,Song CH,Dou, Shengchang,et al. A novel lung cancer detection algorithm for CADs based on SSP and Level Set[J]. TECHNOLOGY AND HEALTH CARE,2017,25(S1):S345-S355.
APA Ye, Xiangyun.,Song CH.,Dou, Shengchang.,Zhao, Hai.,Cao, Peng.,...&Pak, Chun-Hyok.(2017).A novel lung cancer detection algorithm for CADs based on SSP and Level Set.TECHNOLOGY AND HEALTH CARE,25(S1),S345-S355.
MLA Ye, Xiangyun,et al."A novel lung cancer detection algorithm for CADs based on SSP and Level Set".TECHNOLOGY AND HEALTH CARE 25.S1(2017):S345-S355.
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