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	Segmentation of breast ultrasound image using graph cuts and level set
	Lei liu; wenjian qin; rumin yang; chengbo yu; ling li; tiexiang wen; jia gu
	2015
会议名称	International Conference on Biomedical Image and Signal Processing (ICBISP) 2015
会议地点	北京
英文摘要	Image segmentation plays a crucial role in breast ultrasound (BUS) for breast cancer detection. However, due to the heavy speckle noise, low contrast and shadowing effects of BUS images, it’s a challenging task to develop an accurate and robust segmentation algorithm. In this paper, we present a novel algorithm for breast ultrasound image segmentation which is based on hybrid of level set and graph cuts. Firstly, speckle reducing anisotropic diffusion. Subsequently, the initial contour is achieved by graph cut. To smooth the boundaries, a boundary item is added into the energy function of level set. At last, the final contour converges to the objective boundary quickly and accurately after finite steps of iteration of level set. Comparing with the traditional level set method, the requirement of the costly re-initialization procedure is completely eliminated and the local minima are effectively avoided in our method. The experiment results show that the processing time for level set based method to BUS image can be substantially reduced while getting promising segmentation results.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/7243]
专题	深圳先进技术研究院_医工所
作者单位	2015
推荐引用方式 GB/T 7714	Lei liu,wenjian qin,rumin yang,et al. Segmentation of breast ultrasound image using graph cuts and level set[C]. 见:International Conference on Biomedical Image and Signal Processing (ICBISP) 2015. 北京.

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