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

Carlos Arizmendi, Juan Hernández-Tamames, Enrique Romero, Alfredo Vellido, Francisco Del Pozo

Resultado de la investigación: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

9 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Páginas6074-6077
Número de páginas4
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duración: 31 ago. 20104 sept. 2010

Serie de la publicación

Nombre2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conferencia

Conferencia2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
País/TerritorioArgentina
CiudadBuenos Aires
Período31/08/104/09/10

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