Computer aided detection of lung nodules based on voxel analysis utilizing support vector machines

2009 ◽  
Author(s):  
Yang Liu ◽  
Jinzhu Yang ◽  
Dazhe Zhao ◽  
Jiren Liu
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Lung Nodules ◽  
Computer Aided Detection ◽  
Vector Machines ◽  
Computer Aided

Multi-Class SVMs Based on Priority for Computer-Aided Diagnosis of Lung Nodules in CT Images

2011 ◽  
Vol 291-294 ◽  
pp. 2742-2745
Author(s):  
Qing Zhu Wang ◽  
Xin Zhu Wang ◽  
Ji Song Bie ◽  
Bin Wang
Keyword(s):  
Support Vector Machines ◽  
Sensitivity And Specificity ◽  
Ct Images ◽  
Computer Aided Diagnosis ◽  
Least Square ◽  
Support Vector ◽  
Lung Nodules ◽  
Vector Machines ◽  
Computer Aided ◽  
Aided Diagnosis

A priority based ‘One against all (OAA)’ Multi-class Least Square-Support Vector Machines is designed to remove the unclassifiable regions exist in basic OAA. POAA develops the sensitivity and specificity in Computer-aided Diagnosis (CAD) for detection of lung nodules.

Support vector machines committee classification method for computer-aided polyp detection in CT colonography1

2005 ◽  
Vol 12 (4) ◽  
pp. 479-486 ◽  
Author(s):  
Anna K. Jerebko ◽  
James D. Malley ◽  
Marek Franaszek ◽  
Ronald M. Summers
Keyword(s):  
Support Vector Machines ◽  
Classification Method ◽  
Support Vector ◽  
Polyp Detection ◽  
Vector Machines ◽  
Computer Aided
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