Computer Aided Lung Nodule Detection on CT Data

Abstract:

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A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter; Finally, nodule features are extracted and rule-based classifier is used to distinguish true or false positive nodules. Experiment results indicate that this scheme can help radiologist improve the diagnosis efficiency.

Info:

Periodical:

Edited by:

Ran Chen

Pages:

3492-3496

DOI:

10.4028/www.scientific.net/AMM.44-47.3492

Citation:

T. Jia et al., "Computer Aided Lung Nodule Detection on CT Data", Applied Mechanics and Materials, Vols. 44-47, pp. 3492-3496, 2011

Online since:

December 2010

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Price:

$35.00

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