边缘检测在脑肿瘤模式识别中的应用

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 Pub Date : 2009-11-01 DOI:10.1109/ICICI-BME.2009.5417299

R. Rulaningtyas, K. Ain

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引用次数: 34

摘要

脑肿瘤的诊断是由医生完成的。对于脑肿瘤的诊断，不同的医生往往给出不同的结论。为了帮助医生诊断脑肿瘤的分级，本研究开发了一款带有边缘检测方法的软件，可以给出大脑和脑肿瘤本身的边缘图案。本研究中脑肿瘤的边缘检测是脑肿瘤分级研究的第一步。本研究在Robert, Prewitt和Sobel方法之间找到了检测脑肿瘤的最佳边缘检测方法。从这三种方法来看，索贝尔法更适用于脑肿瘤的检测。Sobel方法的偏差标准值小于其他两种边缘检测方法。

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Edge detection for brain tumor pattern recognition

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.

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International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009

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