Paper Title:
Computer Aided Lung Nodule Detection on CT Data
  Abstract

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, C. D. Wu, Y. Wei, "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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