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https://hdl.handle.net/2440/45033
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Type: | Conference paper |
Title: | Classification of osteosarcoma T-ray responses using adaptive and rational wavelets for feature extraction |
Author: | Ng, D. Tian, W. Withayachumnankul, W. Findlay, D. Ferguson, B. Abbott, D. |
Citation: | Complex Systems II / Derek Abbott, Tomaso Aste, Murray Batchelor, Robert Dewar, Tiziana Di Matteo, Tony Guttmann (eds.):680211 |
Publisher: | SPIE |
Publisher Place: | CDROM |
Issue Date: | 2007 |
Series/Report no.: | Proceedings of SPIE ; 6802, 680211, (2008) |
ISBN: | 9780819469731 |
ISSN: | 0277-786X 1996-756X |
Conference Name: | SPIE Complex Systems (2nd : 2008 : Canberra, ACT) |
Editor: | Derek Abbott, |
Statement of Responsibility: | Desmond Ng, Wong Fu Tian, Withawat Withayachumnankul, David Findlay, Bradley Ferguson and Derek Abbott |
Abstract: | In this work we investigate new feature extraction algorithms on the T-ray response of normal human bone cells and human osteosarcoma cells. One of the most promising feature extraction methods is the Discrete Wavelet Transform (DWT). However, the classification accuracy is dependant on the specific wavelet base chosen. Adaptive wavelets circumvent this problem by gradually adapting to the signal to retain optimum discriminatory information, while removing redundant information. Using adaptive wavelets, classification accuracy, using a quadratic Bayesian classifier, of 96.88% is obtained based on 25 features. In addition, the potential of using rational wavelets rather than the standard dyadic wavelets in classification is explored. The advantage it has over dyadic wavelets is that it allows a better adaptation of the scale factor according to the signal. An accuracy of 91.15% is obtained through rational wavelets with 12 coefficients using a Support Vector Machine (SVM) as the classifier. These results highlight adaptive and rational wavelets as an efficient feature extraction method and the enormous potential of T-rays in cancer detection. |
Description: | Copyright 2007 Society of Photo-Optical Instrumentation Engineers. This paper was published in Complex Systems II, edited by Derek Abbott, Tomaso Aste, Murray Batchelor, Robert Dewar, Tiziana Di Matteo, Tony Guttmann, Proc. of SPIE Vol. 6802, 680211 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
Rights: | Copyright © 2008 SPIE - The International Society for Optical Engineering. |
DOI: | 10.1117/12.753026 |
Published version: | http://dx.doi.org/10.1117/12.753026 |
Appears in Collections: | Aurora harvest 6 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_45033.pdf | 572.34 kB | Publisher's PDF | View/Open |
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