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https://hdl.handle.net/2440/22837
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Type: | Conference paper |
Title: | T-ray relevant frequencies for osteosarcoma classification |
Author: | Withayachumnankul, W. Ferguson, B. Rainsford, T. Findlay, D. Mickan, S. Abbott, D. |
Citation: | Proceedings of SPIE, 2006 / Bell, J.M., Varadan, V.K. (ed./s), vol.6038, pp.60381H-1-60381H-15 |
Publisher: | SPIE |
Publisher Place: | http://www.spie.org/conferences/programs/05/au/ |
Issue Date: | 2006 |
Series/Report no.: | Proceedings of SPIE--The International Society for Optical Engineering ; 6038 |
ISBN: | 0819460699 9780819460691 |
ISSN: | 0277-786X 1996-756X |
Conference Name: | SPIE Microelectronics, MEMS, and Nanotechnology (11 Dec 2005 - 14 Dec 2005 : Brisbane, Australia) |
Editor: | Bell, J.M. Varadan, V.K. |
Statement of Responsibility: | W. Withayachumnankul, B. Ferguson, T. Rainsford, D. Findlay, S. P. Mickan, and D. Abbott |
Abstract: | We investigate the classification of the T-ray response of normal human bone cells and human osteosarcoma cells, grown in culture. Given the magnitude and phase responses within a reliable spectral range as features for input vectors, a trained support vector machine can correctly classify the two cell types to some extent. Performance of the support vector machine is deteriorated by the curse of dimensionality, resulting from the comparatively large number of features in the input vectors. Feature subset selection methods are used to select only an optimal number of relevant features for inputs. As a result, an improvement in generalization performance is attainable, and the selected frequencies can be used for further describing different mechanisms of the cells, responding to T-rays. We demonstrate a consistent classification accuracy of 89.6%, while the only one fifth of the original features are retained in the data set. |
Description: | © 2006 COPYRIGHT SPIE--The International Society for Optical Engineering |
DOI: | 10.1117/12.637964 |
Published version: | http://dx.doi.org/10.1117/12.637964 |
Appears in Collections: | Aurora harvest 2 Electrical and Electronic Engineering publications |
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