| 用神经网络进行超声医学图像分割 |
| |
| 引用本文： | 汪天富,郑昌琼.用神经网络进行超声医学图像分割[J].生物医学工程学杂志,1998,15(4):397-399,405. |
| |
| 作者姓名： | 汪天富 郑昌琼 |
| |
| 作者单位： | 四川联合大学高新技术研究院!成都610065 |
| |
| 摘 要： | 分割问题是超声心脏图像多维重建中的一大难题，本文研究超声心脏图像分割的自组织神经网络方法，这是一种无监督的分割方法，通过自组织神经网络的自动聚类分割，实验证明，本文方法优于传统的Ｋ－ｍｅａｎｓ方法。
|
| 关 键 词： | 自组织神经网络 图像分割 超声心动图 |
SELF Organization Neural Network Based UltrasonicHeart Image Segmentation |
| |
| Wang Tianfu,Zheng Changqiong,Li Deyu,Ran Junguo,Zheng Yi.SELF Organization Neural Network Based UltrasonicHeart Image Segmentation[J].Journal of Biomedical Engineering,1998,15(4):397-399,405. |
| |
| Authors: | Wang Tianfu Zheng Changqiong Li Deyu Ran Junguo Zheng Yi |
| |
| Institution: | High Technology Research Institute, Sichuan Union University, Chengdu 610065. |
| |
| Abstract: | Segmentation is one of the most difficult problems in multidimensional reconstruction of ultrasonic heart image. In the present paper, a segmentation method of ultrasonic heart image using the self organization neural network has been studied. This is an unsupervised segmentation method, which can segment images through clustering automatically. The results show that the present method has significant benefits over the traditional K means algorithm. |
| |
| Keywords: | Self organization neural network Image segmentation Ultrasonic image |
| 本文献已被 CNKI 维普 等数据库收录！ |
