Segmentation of breast ultrasound image using graph cuts and level set
文献类型：会议论文
| 作者 | Lei liu; wenjian qin; rumin yang; chengbo yu; ling li; tiexiang wen; jia gu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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