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3 December 2015 Segmentation of medical ultrasound images using an adaptive magnetostatic bidirectional balloon snake model
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Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97941T (2015) https://doi.org/10.1117/12.2205828
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minfen Shen, Qiong Zhang, and Boling Zheng "Segmentation of medical ultrasound images using an adaptive magnetostatic bidirectional balloon snake model ", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941T (3 December 2015); https://doi.org/10.1117/12.2205828
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