首页> 外文会议>International Conference on Artificial Intelligence and Soft Computing;ICAISC 2014 >Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images
【24h】

Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images

机译:计算机辅助系统,用于自动分类乳房超声图像中可疑病变

获取原文

摘要

In this research, a new method for automatic detection of suspected breast cancer lesions using ultrasound images is proposed. In this fully automated method, the best de-noising technique from among several considered is selected, a new segmentation based on fuzzy logic is proposed and detection of lesions based on morphological features and texture features is considered. We also consider correlation among ultrasound images taken from different angles and use it to improve detection.
机译:在该研究中,提出了一种使用超声图像自动检测疑似乳腺癌病变的新方法。 在这种完全自动化的方法中,选择了来自几种考虑的最佳去噪技术,提出了一种基于模糊逻辑的新分割,并考虑了基于形态学特征和纹理特征的病变检测。 我们还考虑从不同角度拍摄的超声图像之间的相关性并使用它来改善检测。

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