Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection-Reference-Cited by-同舟云学术

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Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection

Published:2012-12 Issue:12 Volume:42 Page:1157-1164
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Chang Yongjun,Kim Namkug,Lee Youngjoo,Lim Jonghyuck,Seo Joon Beom,Lee Young Kyung

Funder

Ministry of Knowledge Economy

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function;Hoffman;Acad. Radiol.,2003

2. Utility of high-resolution CT for management of diffuse lung disease: results of a survey of U.S. pulmonary physicians;Scatarige;Acad. Radiol.,2003

3. Idiopathic pulmonary fibrosis: predicting response to therapy and survival;Gay;Am. J. Respir. Crit. Care Med.,1998

4. Computer-aided diagnosis in chest radiography: a survey;van Ginneken;IEEE Trans. Med. Imaging,2001

5. Quantification of pulmonary emphysema from lung computed tomography images;Uppaluri;Am. J. Respir. Crit. Care Med.,1997

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