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- Title
Automated detection of lung nodules in computed tomography images: a review.
- Authors
Lee, S.; Kouzani, A.; Hu, E.
- Abstract
Lung nodules refer to a range of lung abnormalities the detection of which can facilitate early treatment for lung patients. Lung nodules can be detected by radiologists through examining lung images. Automated detection systems that locate nodules of various sizes within lung images can assist radiologists in their decision making. This paper presents a study of the existing methods on automated lung nodule detection. It introduces a generic structure for lung nodule detection that can be used to represent and describe the existing methods. The structure consists of a number of components including: acquisition, pre-processing, lung segmentation, nodule detection, and false positives reduction. The paper describes the algorithms used to realise each component in different systems. It also provides a comparison of the performance of the existing approaches.
- Subjects
LUNG disease treatment; TOMOGRAPHY; NODULAR disease; RADIOLOGIC technologists; DECISION making in clinical medicine
- Publication
Machine Vision & Applications, 2012, Vol 23, Issue 1, p151
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-010-0271-2