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

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 291-294)

Edited by:

Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu

Pages:

2742-2745

DOI:

10.4028/www.scientific.net/AMR.291-294.2742

Citation:

Q. Z. Wang et al., "Multi-Class SVMs Based on Priority for Computer-Aided Diagnosis of Lung Nodules in CT Images", Advanced Materials Research, Vols. 291-294, pp. 2742-2745, 2011

Online since:

July 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.