| 基于神经网络的肝脏B超图像自动诊断系统设计 |
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| 引用本文： | 蒋先刚,赵晓霞.基于神经网络的肝脏B超图像自动诊断系统设计[J].华东交通大学学报,2008,25(1):41-45. |
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| 作者姓名： | 蒋先刚 赵晓霞 |
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| 作者单位： | 华东交通大学,交通信息工程与控制研究所,江西,南昌,330013 |
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| 摘 要： | 通过灰度共生矩阵对肝脏B超图像的纹理描述和相关分类技术进行较全面的分析比较，将BP神经网络技术应用于纹理组织的分类处理中，并对B超图像自动诊断识别系统的软件设计技术进行了探讨．
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| 关 键 词： | 灰度共现矩阵 BP神经网络 B超图像 |
| 文章编号： | 1005-0523(2008)01-0041-04 |
| 修稿时间： | 2007年11月3日 |
Automatic Diagnostic System Design of Liver Ultra-sound Images Based on Neural Network |
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| JIANG Xian-gang,ZHAO Xiao-xia.Automatic Diagnostic System Design of Liver Ultra-sound Images Based on Neural Network[J].Journal of East China Jiaotong University,2008,25(1):41-45. |
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| Authors: | JIANG Xian-gang ZHAO Xiao-xia |
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| Institution: | (Information ＆ Controt Engineering Institute, East China Jiaotong University, Nanchang 330013, China) |
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| Abstract: | The paper describes liver ultra-sound images texture definition by gray co-occurrence matrix and probes a more comprehensive analysis by different classifying technology.The BP neural network technology has been applied to classification of texture tissue in this image analysis system.It also explores the software design technology of automatic diagnostic system of liver ultra-sound images. |
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| Keywords: | gray co-occurrence matrix BP neural network ultra-sound images |
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