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Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and Neural Networks

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5 Author(s)
Arizmendi, C. ; Dept. of Comput. Languages & Syst., Tech. Univ. of Catalonia, Barcelona, Spain ; Hernández-Tamames, J. ; Romero, E. ; Vellido, A.
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The diagnosis of human brain tumours from noninvasive signal measurements is a sensitive task that requires specialized expertise. In this task, radiology experts are likely to benefit from the support of computer-based systems built around robust classification processes. In this brief paper, a method that combines data pre-processing using wavelets with classification using Artificial Neural Networks is shown to yield high diagnostic classification accuracy for a broad range of brain tumour pathologies.

Published in:

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Date of Conference:

Aug. 31 2010-Sept. 4 2010

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