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

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)
Chapter
Measure Control Technologies and Intelligent Systems
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, X. Z. Wang, J. S. Bie, B. Wang, "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
$32.00
Share

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

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

Authors: Bo Tang, Sai Bing Qiu
Chapter 3: Intelligent Manufacturing and Industrial Informatics
Abstract:The general credit scoring model is to solve the two classification problems, but in real life we often encounter multiple classification...
419
Authors: Bo Tang, Sai Bing Qiu
Chapter 3: Applied Sciences and Engineering Researches
Abstract:With the development of Chinas economy, credit scoring has become important. The general credit scoring model is to solve the two...
4407