A Novel Method of Detecting Calcifications from Mammogram Images Based on Wavelet and Sobel Detector
A Novel Method of Detecting Calcifications from Mammogram Images Based on Wavelet and Sobel Detector
复制标题
基于小波和Sobel检测器的乳房X线图像钙化检测新方法
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Zheng Dong
中科院分区：
文献类型：
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作者：
Kai;Zheng Dong
乳房x光检查是最广泛使用和最有效的检测乳腺癌的方法。其中钙化是乳腺癌最重要的征兆。为了帮助放射科医生更有效地读取乳房x光片，钙化的检测成为计算机辅助诊断的一个重要问题。本文介绍了一种基于小波变换和索贝尔检测器的乳房x线图像钙化检测方法。采用基于小波的图像增强技术和Sobel梯度算子，从乳腺组织中区分钙化
Mammography is the most widely used and the most efficient method for detection of breast cancer. In which, calcifications are the most important signs of breast cancers. In order to help the radiologist read the mammograms more efficiently, detection of calcifications becomes a significant problem for the computer-aid diagnosis. A novel method of detecting calcifications from mammogram images based on wavelet transformation and Sobel detector, is introduced in this paper. A wavelet based image enhancement technique and the Sobel gradient operator are used consequently, to distinguish the calcifications from the breast tissues
一种改进的计算机辅助诊断方案，使用小波变换检测数字乳房 X 光照片中的簇状微钙化。
影响因子：
4.8
作者：
Yoshida,H;Doi,K;Nishikawa,RM;Giger,ML;Schmidt,RA
通讯作者：
Schmidt,RA