Lung Nodule Segmentation Using Mathematical Morphology

Abstract:

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Contemporary computed tomography (CT) technology offers the better potential of screening for the early detection of lung cancer than the traditional x-ray chest radiographs. In order to help improve radiologists’ diagnostic performance and efficiency, many researchers propose to develop computer-aided detection and diagnosis (CAD) system for the detection and characterization of lung nodules depicted on CT images and to evaluate its potentially clinical utility in assisting radiologists. Based on review of computer-aided detection and diagnosis of lung nodules using CT at home and abroad in recent years, this paper presented a new algorithm that achieves an automated way for applying multi-scale nodule enhancement, mathematical morphology and morphological Segmentation.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1378-1383

DOI:

10.4028/www.scientific.net/AMM.58-60.1378

Citation:

M. Z. Qu and G. R. Weng, "Lung Nodule Segmentation Using Mathematical Morphology", Applied Mechanics and Materials, Vols. 58-60, pp. 1378-1383, 2011

Online since:

June 2011

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Price:

$35.00

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