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Proceedings Paper

Segmentation of medical ultrasound images using an adaptive magnetostatic bidirectional balloon snake model
Author(s): Minfen Shen; Qiong Zhang; Boling Zheng
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Paper Abstract

Medical ultrasound imaging is one of the most effective methods for lesion early detection. However, the segmentation of lesions such as breast cancers from ultrasound images is still a challenging task due to the variance in shape of the lesions and interference from speckle noise. In this paper, a novel approach using a generalized adaptive magnetostatic bidirectional balloon snake (AMBBS) model is adopted for lesion segmentation. Experimental results show that the generalized adaptive magnetostatic bidirectional balloon snake is robust to speckle noise and can converge to complex geometries and weak edges successfully.

Paper Details

Date Published: 3 December 2015
PDF: 6 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941T (3 December 2015); doi: 10.1117/12.2205828
Show Author Affiliations
Minfen Shen, Shantou Polytechnic (China)
Qiong Zhang, Shantou Univ. (China)
Boling Zheng, Shantou Polytechnic (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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