A robust graph-based segmentation method for breast tumors in ultrasound images
A robust graph-based segmentation method for breast tumors in ultrasound images
复制标题
超声图像中乳腺肿瘤的稳健的基于图的分割方法
DOI：
10.1016/j.ultras.2011.08.011
复制
发表时间：
2012-02-01
期刊：
影响因子：
4.2
通讯作者：
Li, An-Hua
中科院分区：
文献类型：
--
作者：
Huang, Qing-Hua;Lee, Su-Ying;Li, An-Hua
目的：介绍一种新的基于图形的超声图像乳腺肿瘤分割方法。背景和动机：超声图像中乳腺肿瘤的分割是计算机辅助诊断系统的关键，但由于超声图像固有的斑点和低对比度等缺陷，分割一直是一个困难的任务。结果与结论：实验结果表明，与常用的三种分割方法相比，该方法的分割精度提高了1.5-5.6%，能够有效地分割出超声图像中的乳腺肿瘤。(C)2011爱思唯尔B.V.保留所有权利。
Objectives: This paper introduces a new graph-based method for segmenting breast tumors in US images.Background and motivation: Segmentation for breast tumors in ultrasound (US) images is crucial for computer-aided diagnosis system, but it has always been a difficult task due to the defects inherent in the US images, such as speckles and low contrast.Methods: The proposed segmentation algorithm constructed a graph using improved neighborhood models. In addition, taking advantages of local statistics, a new pair-wise region comparison predicate that was insensitive to noises was proposed to determine the mergence of any two of adjacent subregions.Results and conclusion: Experimental results have shown that the proposed method could improve the segmentation accuracy by 1.5-5.6% in comparison with three often used segmentation methods, and should be capable of segmenting breast tumors in US images. (C) 2011 Elsevier B. V. All rights reserved.