Brain tumour diagnosis with wavelets and Support Vector Machines

GONZALO ALBERTO FARIAS CASTRO, M. Santos, V. López

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, a synergy of signal processing techniques and intelligent strategies is applied in order to identify different types of human brain tumours, so that to help to confirm the histological diagnosis. The Wavelet-SVM (Support Vector Machine) classifier merges wavelet transform to reduce the size of the biomedical spectra and to extract the main features, with SVM to classify them. The influence of some of the configuration parameters of each of those techniques on the clustering is analysed. The classification results are promising specially taking into account that medical knowledge has not been considered.

Original languageEnglish
Title of host publicationProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
Pages1453-1459
Number of pages7
DOIs
StatePublished - 1 Dec 2008
EventProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008 - Xiamen, China
Duration: 17 Nov 200819 Nov 2008

Publication series

NameProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Conference

ConferenceProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
CountryChina
CityXiamen
Period17/11/0819/11/08

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