loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Workshop on Medical Imaging and Augmented Reality (MIAR '01)
Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis
Shatin, N.T., Hong Kong
June 10-June 12
ISBN: 0-7695-1113-9
ASCII Text
x 
 
Weiqiang Liu, Peihua Shen, Yingge Qu, Deshen Xia, "Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis," Medical Imaging and Augmented Reality, International Workshop on, pp. 0188, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001.
 
 
BibTex
x
 
@article{ 10.1109/MIAR.2001.930284,
author = {Weiqiang Liu and Peihua Shen and Yingge Qu and Deshen Xia},
title = {Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis},
journal ={Medical Imaging and Augmented Reality, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1113-9},
pages = {0188},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930284},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Medical Imaging and Augmented Reality, International Workshop on
TI - Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis
SN - 0-7695-1113-9
SP
EP
A1 - Weiqiang Liu,
A1 - Peihua Shen,
A1 - Yingge Qu,
A1 - Deshen Xia,
PY - 2001
KW - Support Vector Machines
KW - Sequential Minimal Optimization
KW - Game Theory
KW - Lung Cancer Diagnosis
VL - 0
JA - Medical Imaging and Augmented Reality, International Workshop on
ER -
 
Weiqiang Liu, Nanjing Univ. of Sci. & Tech.
Peihua Shen, Nanjing Univ. of Sci. & Tech.
Yingge Qu, Nanjing Univ. of Sci. & Tech.
Deshen Xia, Nanjing Univ. of Sci. & Tech.
Abstract: In this paper, a method of lung cancer aid diagnosis using Support Vector Machines is proposed. Combined with the knowledge of pathology, the improvement of Sequential Minimal Optimization (SMO) is achieved by the introduction of Game Theory to accelerate the training process. The experiments result shows that the speed increased greatly. And comparing with other systems, the diagnosis identification rate of the three main kinds of cancer cells is also increased.
Index Terms:
Support Vector Machines, Sequential Minimal Optimization, Game Theory, Lung Cancer Diagnosis
Citation:
Weiqiang Liu, Peihua Shen, Yingge Qu, Deshen Xia, "Fast Algorithm of Support Vector Machines in Lung Cancer Diagnosis," miar, pp.0188, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001
Usage of this product signifies your acceptance of the Terms of Use.