Computer-aided Lung Nodule Detection Based on CT Images

摘要：

Lung cancer is the most common fatal malignancy in both men and women, early detection and treatment of lung cancer can greatly improve the survival rate of patient. This paper presents an automatic computer-aided detection ( CAD) scheme that can identify the lung nodule at an early stage from CT images. The work is separated to several steps: the segmentation of lung parenchyma, the detection of suspicious nodule candidates, the feature extraction and classification, use adaptive threshold segmentation, math morphologic, Gaussian filter, Hessian matrix algorithms. Though clinical trials, the computer-aided detection scheme can help physician improve the diagnosis efficiency.

关键词： Nodule detection lung parenchyma segmentation computer-aided detection CT image.

作者: JIA Tong ZHAO Da-Zhe WEI Ying ZHU Xin-Hua WANG Xu

作者单位: School of Information Science & Engineering, Northeastern University Bldg. A9: No.2 Xin Xiu Street, Hun Nan New District, Shenyang 110179, China

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 821-824

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）