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

页码：155 / 158

页数：4

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