Brain Tumour Diagnosis with Wavelets and Support Vector Machines

摘要：

In this paper,a synergy of signal processingtechniques and intelligent strategies is applied inorder to identify different types of human braintumours,so that to help to confirm the histologicaldiagnosis.The Wavelet-SVM(Support Vector Machine)classifier merges wavelet transform to reduce the sizeof the biomedical spectra and to extract the mainfeatures,with SVM to classify them.The influence ofsome of the configuration parameters of each of thosetechniques on the clustering is analysed Theclassification results are promising specially takinginto account that medical knowledge has not beenconsidered.

作者: G.Farias M. Santos V.Lopez

作者单位: Dpto. Informatica y Automatica,ETSII,UNED,28040-Madrid,Spain Facultad de Informatica,UCM,,28040-Madrid,Spain Facultad de lnformatica,UCM,28040-Madrid,Spain

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 1453-1459

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）