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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jia Tong Zhao Da-Zhe Yang Jin-Zhu Wang Xu |
| Copyright Year | 2007 |
| Description | Author affiliation: Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang (Jia Tong; Zhao Da-Zhe; Yang Jin-Zhu; Wang Xu) |
| Abstract | Lung cancer's death rates have been the main cause of cancer deaths in the world, 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 pulmonary nodule at an early stage from CT images. The work is separated to several steps: the segmentation of lung parenchyma, trachea and main airway bronchi elimination, the filter of nodule candidates, the detection of nodule candidates, the feature extraction and classification, three-dimensional visualization. The clinical testing for lots of lung cancer patients revealed that its high detection sensitivity of pulmonary nodules can meet basically the requirement of clinical diagnosis. |
| Starting Page | 833 |
| Ending Page | 836 |
| File Size | 858984 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424411203 |
| DOI | 10.1109/ICBBE.2007.217 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Visualization Filters Lungs Computed tomography Medical treatment Cancer detection Feature extraction Respiratory system Testing |
| Content Type | Text |
| Resource Type | Article |
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