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Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

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Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

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Juan Albarracín, J.; Fuster García, E.; Manjón Herrera, JV.; Robles Viejo, M.; Aparici, F.; Marti-Bonmati, L.; García Gómez, JM. (2015). Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification. PLoS ONE. 10(5):1-20. doi:10.1371/journal.pone.0125143

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Title: Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
Automatic brain tumour segmentation has become a key component for the future of brain tumour treatment. Currently, most of brain tumour segmentation approaches arise from the supervised learning standpoint, which requires ...[+]
Subjects: Magnetic Resonance Imaging , Unsupervised Classification , Structured Prediction , Imaging techniques , Statistical Distributions
Copyrigths: Reconocimiento (by)
Source:
PLoS ONE. (issn: 1932-6203 )
DOI: 10.1371/journal.pone.0125143
Publisher:
Public Library of Science
Publisher version: http://dx.doi.org/10.1371/journal.pone.0125143
Thanks:
EFG was supported by Programa Torres Quevedo, Ministerio de Educacion y Ciencia, co-funded by the European Social Fund (PTQ-1205693). EFG, JMGG, and JVM were supported by Red Tematica de Investigacion Cooperativa en Cancer, ...[+]
Type: Artículo

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