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SVM optimization for hyperspectral colon tissue cell classification
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UNSPECIFIED (2004) SVM optimization for hyperspectral colon tissue cell classification. In: 7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2004), SEP 26-29, 2004, St Malo, FRANCE.
Full text not available from this repository.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: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
| Series Name: | LECTURE NOTES IN COMPUTER SCIENCE |
| Journal or Publication Title: | MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2004, PT 2, PROCEEDINGS |
| Publisher: | SPRINGER-VERLAG BERLIN |
| ISBN: | 3-540-22977-9 |
| ISSN: | 0302-9743 |
| Editor: | Barillot, C and Haynor, DR and Hellier, P |
| Date: | 2004 |
| Volume: | 3217 |
| Number: | Part 2 |
| Number of Pages: | 9 |
| Page Range: | pp. 829-837 |
| Publication Status: | Published |
| 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: | SEP 26-29, 2004 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/7851 |
Data sourced from Thomson Reuters' Web of Knowledge
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