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MICCAI
2004
Springer

SVM Optimization for Hyperspectral Colon Tissue Cell Classification

15 years 19 hour ago
SVM Optimization for Hyperspectral Colon Tissue Cell Classification
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.
Kashif Rajpoot, Nasir Rajpoot
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2004
Where MICCAI
Authors Kashif Rajpoot, Nasir Rajpoot
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