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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