首页> 外文会议>International Workshop on Digital Mammography(IWDM 2006); 20060618-21; Manchester(GB) >A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection
【24h】

A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection

机译:同时进行乳房X光检查和异常检测的概率方法

获取原文
获取原文并翻译 | 示例

摘要

In this paper, we present a new method for simultaneously registering mammograms and detecting abnormalities. We assume that pixels can be divided into two classes: normal tissue and abnormalities (lesions). We define the registration constraints as a mixture of two distributions which describe statistically image gray-level variations for both pixel classes. The two distributions are weighted at each pixel by the probability of abnormality presence. Using the Maximum A Posteriori, we estimate the registration transformation and the probability map of abnormality presence at the same time. We illustrate the properties of our technique with some experiments and compare it with some classical methods.
机译:在本文中,我们提出了一种同时注册乳房X线照片和检测异常的新方法。我们假设像素可以分为两类:正常组织和异常(病变)。我们将配准约束定义为两种分布的混合,这两种分布在统计上描述了两个像素类的图像灰度级变化。通过出现异常的概率在每个像素处对这两个分布进行加权。使用最大后验概率,我们可以同时估计配准变换和异常出现的概率图。我们通过一些实验说明了我们技术的特性,并将其与一些经典方法进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号