| 王颖,高新波,董妍.一种部分监督的乳腺肿块检测方法[J].中国医学影像技术,2005,21(10):1572~1575 |
| 一种部分监督的乳腺肿块检测方法 |
| A partial supervised mammographic masses detection method |
| 投稿时间：2005-06-09 修订日期：2005-08-31 |
| DOI： |
| 中文关键词: 主动相关反馈 部分监督 肿块检测 Relief算法 |
| 英文关键词:Active relevance feedback Partial supervise Mass detection Relief algorithm |
| 基金项目:本课题受国家自然科学基金(60202004)和新世纪优秀人才支持计划资助。 |
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| 中文摘要: |
| 目的 从医学影像中准确地提取出可疑肿块区域。方法 通过引入主动相关反馈的思想,提出一种部分监督的乳腺肿块检测方法,在肿块区域预检测的基础上,主动提供部分可疑区域由专家(或用户)标定正负样本,通过几次交互反馈,最终得到待分析的肿块区域。结果 方法能够较准确地提取出肿块区域,有效的去除检测结果中的假阳性区域。结论 方法准确性较好,有助于计算机辅助诊断系统的进一步分析。 |
| 英文摘要: |
| Objective Accurate selection of suspected masses in medical images. Methods A novel method inspired by active relevance feedback is introduced as partial supervised mass detection. On the basis of pre-detection, partial suspected regions provided by active feedback are labeled by the expert (or the users) as the positive or negative sample regions. After a few training and learning interactively, the final mass detection result is given. Results The method can accurately select the suspected masses through eliminate the false-positive regions. Conclusion The method has good accuracy and helps to further analysis of the computer-aided diagnosis system. |
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