• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Computer Science and Education >Automatic diagnosing of infant hip based on Graf criteria
【24h】

Automatic diagnosing of infant hip based on Graf criteria

机译：基于Graf标准的婴儿髋部自动诊断

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we proposed an automatic diagnosis method in detection of infants hips, and experimental results on real ultrasonic images have shown its fastness and capability in the eld. Four procedures, pre-processing of raw images, segmenting, feature extracting and diagnosing, are included in proposed method. Pre-processing mainly focus on obtaining interested region from raw images. Segmenting, followed by features extracting from segmented images, proceeded at once after pre-processing. The algorithm of segmentation we used here is region-scalable tting energy model. Finally, we obtain two most important reference indexes of Graf criteria, angles α and β, by tting lines with least squares method applied. Accordingly, hips are classi ed into one of four types, including maturity, dysplasia, severe dysplasia and dislocation, according to aforementioned indexes. Accuracy on practical images reaches 80.4% with 93 images tested.
机译：在本文中，我们提出了一种自动诊断婴儿髋部的方法，在真实的超声图像上的实验结果表明了该方法的快速性和现场能力。所提出的方法包括原始图像的预处理，分割，特征提取和诊断四个过程。预处理主要集中在从原始图像中获取感兴趣的区域。在预处理之后，立即进行分割，然后从分割的图像中提取特征。我们在这里使用的分割算法是区域可缩放的能量模型。最后，通过使用最小二乘法对直线进行点划线，我们获得了Graf准则的两个最重要的参考指标，即角度α和β。因此，根据上述指标，髋部被分为四种类型之一，包括成熟，发育不良，严重发育不良和脱位。经测试93张图像，实际图像的准确性达到80.4％。

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