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Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases
Joint Authors
Chen, Yen-Wei
Feng, Tianjiao
Zhao, Di
Liao, Shiyang
Jiang, Huiyan
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A novel method is proposed to establish the classifier which can classify the pancreatic images into normal or abnormal.
Firstly, the brightness feature is used to construct high-order tensors, then using multilinear principal component analysis (MPCA) extracts the eigentensors, and finally, the classifier is constructed based on support vector machine (SVM) and the classifier parameters are optimized with quantum simulated annealing algorithm (QSA).
In order to verify the effectiveness of the proposed algorithm, the normal SVM method has been chosen as comparing algorithm.
The experimental results show that the proposed method can effectively extract the eigenfeatures and improve the classification accuracy of pancreatic images.
American Psychological Association (APA)
Jiang, Huiyan& Zhao, Di& Feng, Tianjiao& Liao, Shiyang& Chen, Yen-Wei. 2013. Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-492602
Modern Language Association (MLA)
Jiang, Huiyan…[et al.]. Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-492602
American Medical Association (AMA)
Jiang, Huiyan& Zhao, Di& Feng, Tianjiao& Liao, Shiyang& Chen, Yen-Wei. Construction of Classifier Based on MPCA and QSA and Its Application on Classification of Pancreatic Diseases. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-492602
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492602