| 基于自组织特征映射神经网络的医学图像分割技术 |
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| 引用本文： | 田炜,周明全,耿国华. 基于自组织特征映射神经网络的医学图像分割技术[J]. 计算机应用与软件, 2008, 25(1): 28-29,35 |
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| 作者姓名： | 田炜 周明全 耿国华 |
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| 作者单位： | 西北大学信息科学与技术学院,陕西,西安,710127;西北大学信息科学与技术学院,陕西,西安,710127;西北大学信息科学与技术学院,陕西,西安,710127 |
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| 摘 要： | 采用一维自组织特征映射神经网络对医学图像进行聚类分析,实现对不同组织的自动分割.避免了直接使用灰度门限分割方法由于门限值选择不当所导致的分割结果有失准确性的缺点.试验结果表明,利用该方法能够较好地保证分割结果的准确性和完整性.
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| 关 键 词： | 自组织特征映射神经网络 医学图像分割 聚类分析 分类 |
| 收稿时间： | 2006-01-04 |
| 修稿时间： | 2006-01-04 |
MEDICAL IMAGE SEGMENTATION BASED ON SELF-ORGANIZING FEATURE MAP NEURAL NETWORK |
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| Tian Wei,Zhou Mingquan,Geng Guohua. MEDICAL IMAGE SEGMENTATION BASED ON SELF-ORGANIZING FEATURE MAP NEURAL NETWORK[J]. Computer Applications and Software, 2008, 25(1): 28-29,35 |
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| Authors: | Tian Wei Zhou Mingquan Geng Guohua |
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| Affiliation: | Tian Wei Zhou Mingquan Geng Guohua(School of Information Science & Technology,Northwest University,Xi'an 710127,Shaanxi,China) |
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| Abstract: | Self-organizing feature map neural network is applied to make a cluster analysis of medical images, and automatic segmentation of different organs is implemented. The segmentation limitation of inaccuracy caused by improper gray level is avoided. The result of the experiment proves that this method can assure the integration and veracity of the segmentation. |
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| Keywords: | Self-organizing feature map neural network Medical image segmentation Cluster analysis Classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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