A MROI Extracting Technique in Mammograms Based on SVM and Morphology

GU Guang-juan; SONG Li-xin; WANG Li

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A MROI Extracting Technique in Mammograms Based on SVM and Morphology

更新时间：2026-07-10

- A MROI Extracting Technique in Mammograms Based on SVM and Morphology
- Vol. 14, Issue 6, Pages: 47-51(2009)
- 作者机构：
  
  1. 哈尔滨理工大学电气与电子工程学院
  2. 黑龙江省医院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2009
- 稿件说明：
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GU Guang-juan, SONG Li-xin, WANG Li. A MROI Extracting Technique in Mammograms Based on SVM and Morphology[J]. 2009, 14(6): 47-51.
DOI：

GU Guang-juan, SONG Li-xin, WANG Li. A MROI Extracting Technique in Mammograms Based on SVM and Morphology[J]. 2009, 14(6): 47-51. DOI：

摘要

针对目前乳腺X线影像微钙化点感兴趣区域的提取方法复杂

效果不理想

保留微钙化区域的能力及排除非病变区域的能力差等方面的问题.依据微钙化点区域和非微钙化点区域的特征差异

提出了利用支持向量机来对乳腺组织子块是否是微钙化点区域进行分类

引入微钙化点的检测方法

利用形态学对含微钙化点的可疑区域进行检测

最后判断微钙化点簇

完成提取.实验证明

该方法操作简单

检出率较高

且假阳性得到明显降低

可大幅提高后期辅助诊断的效率.

Abstract

To solve the problem that the methods for extraction of micro-calcification region of interest in mammograms are complicated

but the results are not perfect at present

and the abilities of retaining micro-calcification region and discarding normal region need to be improved

according to the features differences between micro-calcification region and normal region

the paper presents a methed to classify breast tissue sub-blocks which are whether micro-calcification region or normal region by support vector m...

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