数字图像处理在动脉粥样硬化诊断中的应用

Dr.Hazeem Baqer, Abdulkareem. S. Gumar, Baidaa M.Alsafy
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引用次数: 1

摘要

本文提出了一种诊断动脉粥样硬化的方法,即动脉是否正常或异常,它是利用神经网络技术进行优化后,过滤和去除动脉中的杂质。样本取自纳西里耶心脏中心的一组不同年龄和性别的患者,共110个样本,其中60个是训练样本,结果为100%,50个样本进行了测试,结果为92%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of Atherosclerosis by using digital image processing
In this paper propose a method for the diagnosis of atherosclerosis as if that was normal or abnormal arteries, it has been the use of neural network technology after making optimizations, filter and remove the impurities of the arteries. Samples were taken from a group of patients in Nasiriyah Heart Center disparate ages and both sexes, which was 110 samples were 60 of them training samples which showed the results of 100% and 50 of these samples were tested results showed 92%
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