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SVM optimization for hyperspectral colon tissue cell classification
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Rajpoot, Kashif and Rajpoot, Nasir M. (Nasir Mahmood) (2004) SVM optimization for hyperspectral colon tissue cell classification. In: Barillot, C. and Haynor, D. R. and Hellier, P., (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. Lecture Notes in Computer Science, Volume 3217 (Part 2). Springer Berlin Heidelberg, pp. 829-837. ISBN 978354022977
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Official URL: http://dx.doi.org/10.1007/978-3-540-30136-3_101
Abstract
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines (SVMs) have been shown to perform reasonably well for the classification [4,13]. In this paper, we address the following question: how does the choice of a kernel function and its parameters affect the SVM classification performance in such a system? We show that the Gaussian kernel function combined with an optimal choice of parameters can produce high classification accuracy.
Item Type: | Book Item | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Series Name: | Lecture Notes in Computer Science | ||||
Publisher: | Springer Berlin Heidelberg | ||||
ISBN: | 978354022977 | ||||
ISSN: | 0302-9743 | ||||
Book Title: | Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004 | ||||
Editor: | Barillot, C. and Haynor, D. R. and Hellier, P. | ||||
Official Date: | 2004 | ||||
Dates: |
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Volume: | Volume 3217 | ||||
Number: | Part 2 | ||||
Number of Pages: | 9 | ||||
Page Range: | pp. 829-837 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 28 July 2016 | ||||
Title of Event: | 7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004) | ||||
Location of Event: | St Malo, France | ||||
Date(s) of Event: | 26-29 Sep 2004 | ||||
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