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Fourth International Conference on Computer and Information Technology (CIT'04)
Multispectral MR Images Segmentation Using SOM Network
Wuhan, China
September 14-September 16
ISBN: 0-7695-2216-5
ASCII Text
x 
 
Tianbai Qian, Minglu Li, "Multispectral MR Images Segmentation Using SOM Network," Computer and Information Technology, International Conference on, pp. 155-158, Fourth International Conference on Computer and Information Technology (CIT'04), 2004.
 
 
BibTex
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@article{ 10.1109/CIT.2004.1357189,
author = {Tianbai Qian and Minglu Li},
title = {Multispectral MR Images Segmentation Using SOM Network},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2216-5},
pages = {155-158},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2004.1357189},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Multispectral MR Images Segmentation Using SOM Network
SN - 0-7695-2216-5
SP155
EP158
A1 - Tianbai Qian,
A1 - Minglu Li,
PY - 2004
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Tianbai Qian, Shanghai Jiaotong Univerisity
Minglu Li, Shanghai Jiaotong Univerisity
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 from 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.
Citation:
Tianbai Qian, Minglu Li, "Multispectral MR Images Segmentation Using SOM Network," cit, pp.155-158, Fourth International Conference on Computer and Information Technology (CIT'04), 2004
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