Ultrasound breast tumor segmentation based on 3-D level set

Ying Wang; Qi Liu

doi:10.1117/12.746500

14 November 2007 Ultrasound breast tumor segmentation based on 3-D level set

Ying Wang, Qi Liu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891Q (2007) https://doi.org/10.1117/12.746500
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper, we propose a new model based on C-V model, this model based on intra-region similar and inter-region dissimilar properties, adjusting the parameters automatically using the region mean values inside and outside the curve, is suitable for weak edge image segmentation. In the segmentation of the 3-D ultrasonic breast tumor, the segmentation speed of this model is faster than the C-V model, and the segmentation result is gratifying.

Citation Download Citation

Ying Wang and Qi Liu "Ultrasound breast tumor segmentation based on 3-D level set", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891Q (14 November 2007); https://doi.org/10.1117/12.746500

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