Prediction of malignancy degree in brain glioma using selective neural networks ensemble
Abstract
A clustering algorithm based selective neural networks ensemble (CLUSEN) is proposed to predict the degree of malignancy in brain glioma. Since the degree prediction of malignancy is critical before brain surgery, many learning methods are used like rule induction algorithm, single neural networks, support vector machines, etc. Ensemble learning methods can improve the generalization of single learning machine, and are becoming popular in the...
Paper Details
Title
Prediction of malignancy degree in brain glioma using selective neural networks ensemble
Published Date
Jun 1, 2006
Volume
10
Issue
3
Pages
244 - 246
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