Preprocessing MRS information for classification of human brain tumours

C. J. Arizmendi, A. Vellido, E. Romero

Resultado de la investigación: Libro / Capitulo del libro / InformeCapítulos en librorevisión exhaustiva

2 Citas (Scopus)

Resumen

Brain tumours show a low prevalence as compared to other cancer pathologies. Their impact, both in individual and social terms, far outweighs such low prevalence. Their anatomical specificity also makes them difficult to explore and treat. The use of biopsies is limited to extreme cases due to the risks involved in the surgical procedure, and non-invasive measurements are the standard for diagnostic exploration. The usual measurement techniques come in the modalities of imaging and spectroscopy. In this chapter, the authors analyze magnetic resonance spectroscopy (MRS) data from an international database and illustrate the importance of data preprocessing prior to diagnostic classification.

Idioma originalInglés
Título de la publicación alojadaMedical Applications of Intelligent Data Analysis
Subtítulo de la publicación alojadaResearch Advancements
EditorialIGI Global
Páginas29-49
Número de páginas21
ISBN (versión impresa)9781466618039
DOI
EstadoPublicada - 2012

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