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Statistical Texture Modeling for Medical Volume Using Linear Tensor Coding
Joint Authors
Deng, Junping
Chen, Yen-Wei
Qiao, Xu
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We introduced a compact representation method named Linear Tensor Coding (LTC) for medical volume.
With LTC, medical volumes can be represented by a linear combination of bases which are mutually independent.
Furthermore, it is possible to choose the distinctive basis for classification.
Before classification, correlations between category labels and the coefficients of LTC basis are used to choose the basis.
Then we use the selected basis for classification.
The classification accuracy can be significantly improved by the use of selected distinctive basis.
American Psychological Association (APA)
Deng, Junping& Qiao, Xu& Chen, Yen-Wei. 2013. Statistical Texture Modeling for Medical Volume Using Linear Tensor Coding. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-486608
Modern Language Association (MLA)
Deng, Junping…[et al.]. Statistical Texture Modeling for Medical Volume Using Linear Tensor Coding. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-486608
American Medical Association (AMA)
Deng, Junping& Qiao, Xu& Chen, Yen-Wei. Statistical Texture Modeling for Medical Volume Using Linear Tensor Coding. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-486608
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486608