1. bookVolume 22 (2016): Issue 4 (December 2016)
Journal Details
License
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Journal
First Published
30 Dec 2008
Publication timeframe
4 times per year
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English
access type Open Access

A Hybrid Fuzzy-SVM classifier for automated lung diseases diagnosis

Published Online: 30 Dec 2016
Page range: 97 - 103
Received: 30 Jun 2016
Accepted: 01 Dec 2016
Journal Details
License
Format
Journal
First Published
30 Dec 2008
Publication timeframe
4 times per year
Languages
English

A novel scheme for lesions classification in chest radiographs is presented in this paper. Features are extracted from detected lesions from lung regions which are segmented automatically. Then, we needed to eliminate redundant variables from the subset extracted because they affect the performance of the classification. We used Stepwise Forward Selection and Principal Components Analysis. Then, we obtained two subsets of features. We finally experimented the Stepwise/FCM/SVM classification and the PCA/FCM/SVM one. The ROC curves show that the hybrid PCA/FCM/SVM has relatively better accuracy and remarkable higher efficiency. Experimental results suggest that this approach may be helpful to radiologists for reading chest images.

Keywords

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