Multispectral MR images segmentation using SOM network

被引：0
|
作者：
Qian, TB [1 ]
Li, ML [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The precise segmentation of Magnetic Resonance Images (MRI) is an important subject in both medical and computer science communities. With MRI's property of multi-spectrum, we use the information front its PD-,T1-,and T2-weighted images, mapping them into a multi-dimensional intensity space and getting its vector gradient. Through the improvement of the step function, an unsupervised Self-Organizing Map (SOM) neural network is trained dynamically. To improve the effectiveness of segmentation, we develop a semi-supervised training scheme at the edge of image in multi-dimensional intensity space.
引用
收藏
页码：155 / 158
页数：4
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