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基于解剖学特征的乳腺X线图像胸肌分割

李艳凤 陈后金 杨娜 张胜君

李艳凤, 陈后金, 杨娜, 张胜君. 基于解剖学特征的乳腺X线图像胸肌分割. 自动化学报, 2013, 39(8): 1265-1272. doi: 10.3724/SP.J.1004.2013.01265
引用本文: 李艳凤, 陈后金, 杨娜, 张胜君. 基于解剖学特征的乳腺X线图像胸肌分割. 自动化学报, 2013, 39(8): 1265-1272. doi: 10.3724/SP.J.1004.2013.01265
LI Yan-Feng, CHEN Hou-Jin, YANG Na, ZHANG Sheng-Jun. Pectoral Muscle Segmentation in Mammograms Based on Anatomic Features. ACTA AUTOMATICA SINICA, 2013, 39(8): 1265-1272. doi: 10.3724/SP.J.1004.2013.01265
Citation: LI Yan-Feng, CHEN Hou-Jin, YANG Na, ZHANG Sheng-Jun. Pectoral Muscle Segmentation in Mammograms Based on Anatomic Features. ACTA AUTOMATICA SINICA, 2013, 39(8): 1265-1272. doi: 10.3724/SP.J.1004.2013.01265

基于解剖学特征的乳腺X线图像胸肌分割

doi: 10.3724/SP.J.1004.2013.01265
基金项目: 

国家自然科学基金(61271305, 61201363);中央高校基本科研业务费专项资金(2013YJS017);高等学校博士学科点专项科研基金 (20110009110001)资助

详细信息
    作者简介:

    李艳凤 北京交通大学电子信息工程学院博士研究生. 2006 年获得北京交通大学通信工程学士学位. 主要研究方向为生物医学图像处理及其应用.E-mail: 11111049@bjtu.edu.cn

Pectoral Muscle Segmentation in Mammograms Based on Anatomic Features

Funds: 

Supported by National Natural Science Foundation of China (61271305, 61201363), Fundamental Research Funds for the Central Universities of China (2013YJS017), and Research Fund for the Doctoral Program of Higher Education of China (20110009110001)

  • 摘要: 提出了基于解剖学特征(纹理特征和形状特征)的乳腺X线图像胸肌区域分割方法. 融合边缘信息到谱聚类算法得到过分割图像. 根据区域的亮度分布和胸肌的三角形状特征,提出区域聚合算法, 从过分割图像中识别出胸肌边缘.该方法在322幅mini-MIAS (Mammographic image analysis society)乳腺图像和50幅北京大学人民医院乳腺中心乳腺图像上进行验证, 实验结果表明,该方法对不同大小、形状和亮度的胸肌分割具有较强的鲁棒性.
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出版历程
  • 收稿日期:  2012-04-27
  • 修回日期:  2012-10-09
  • 刊出日期:  2013-08-20

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