【24h】

Edge detection for brain tumor pattern recognition

机译:边缘检测用于脑肿瘤模式识别

获取原文
获取外文期刊封面目录资料

摘要

Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.
机译:脑肿瘤的诊断是由医生完成的。为了检测脑肿瘤的分级,总是在一位医生与另一位医生之间得出不同的结论。为了帮助医生诊断脑肿瘤分级,本研究开发了一种具有边缘检测方法的软件,可以给出脑部和脑肿瘤本身的边缘模式。本研究中脑肿瘤的边缘检测是脑肿瘤分级研究的第一步。这项研究找到了在罗伯特,普雷维特和索贝尔方法之间进行脑肿瘤检测的最佳边缘检测方法。从这三种方法中,Sobel方法适用于检测脑肿瘤的情况。 Sobel方法的偏差标准值比其他两种边缘检测方法小。

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