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基于小波变换和图论方法识别乳腺微钙化点簇 被引量：1

Detection of clustered microcalcifications in mammograms based on wavelet transformation and graphics theory
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摘要 成簇的微钙化点是早期乳腺癌的一个重要表征,用计算机辅助诊断时需要在乳腺片图像中判断有无钙化点簇。提出了一种利用Daubechies小波对乳腺图像进行增强,用二维熵阈值分割法对增强后的图像进行阈值分割,然后采用图论方法提取出成簇钙化点的方法。从而实现了计算机辅助诊断系统辅助医师判断恶性钙化。 Clustered microcalcifications is one of the main features of breast cancer. Whether there are clustered microcalcifications in mammograms should be estimated during computer-aided diagnosis. Image of mammograms are enhanced by Daubechies wavelet. Thresholding is implemented by 2D entropy method. Clustered rnicrocaldfications are detected with method of graphics theory. These make it possible for doctors to diagnose malignant calcications.
作者 龚浩 王玉慧
机构地区 北京航空航天大学机械工程与自动化学院
出处 《光学技术》 EI CAS CSCD 北大核心 2007年第5期769-771,共3页 Optical Technique
关键词 成簇微钙化点 小波变换 图论 乳腺癌 计算机辅助诊断 clustered rnicrocalcifications wavelet transformation graphics theory breast cancer CAD
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献9

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二级参考文献9

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共引文献7

同被引文献25

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光学技术
2007年 第5期

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