| 基于先验模型和区域生长的乳腺图像钙化点检测 |
| |
| 引用本文： | 刘耀辉,胡山泉,李涛,王志强.基于先验模型和区域生长的乳腺图像钙化点检测[J].计算机工程与应用,2011,35(35):168-170. |
| |
| 作者姓名： | 刘耀辉 胡山泉 李涛 王志强 |
| |
| 作者单位： | 湘南学院,湖南郴州,423000 |
| |
| 基金项目： | 湖南省教育厅优秀青年项目(No.09B097); 郴州市科技计划项目(No.20099L06) |
| |
| 摘 要： | 早期乳腺癌的一个重要特征就是钙化点,快速准确地找出乳腺图像中的钙化点是成功诊断的第一步。提出了一种先验模板和区域生长的钙化点快速检测方法。根据钙化点检测的临床经验,选用一直径为0.5mm的模板找出乳腺图像中的局部峰值点。以这些峰值点为初始种子点,进行区域生长;计算每个区域的面积、平均灰度、对比度,保留满足钙化点特征的区域。根据先验知识,对生长获得的钙化点是否成簇进行判别,保留成簇的微钙化点。实验表明,该算法实现了乳腺图像中钙化点的快速自动检测,提高了医生诊断的正确性。
|
| 关 键 词： | 乳腺图像 微钙化点 区域生长 先验模型 |
| 修稿时间： | |
Detection on clusted microcalcification on mammograms based on priori model and region growing |
| |
| LIU Yaohui
,
HU Shanquan
,
LI Tao
,
WANG Zhiqiang.Detection on clusted microcalcification on mammograms based on priori model and region growing[J].Computer Engineering and Applications,2011,35(35):168-170. |
| |
| Authors: | LIU Yaohui HU Shanquan LI Tao WANG Zhiqiang |
| |
| Affiliation: | LIU Yaohui,HU Shanquan,LI Tao,WANG Zhiqiang Xiangnan University,Chenzhou,Hunan 423000,China |
| |
| Abstract: | An important feature of early breast cancer is microcalcification.The first step of successful diagnosis is how to identify microcalcifications rapidly and accurately in a mammogram.A new rapid detection method based on priori model and region growing is presented in this paper.A 0.5 mm diameter template is chosen to find out local peak points in a mammogram.The region growing method is used by taking these points as initial seeds.Features of each area as size,average gray and contrast are computed,and the ... |
| |
| Keywords: | mammogram microcalcification region growing priori model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
|
