Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

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 a labelled training dataset from which to infer the models of the classes. Th...

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Detalles Bibliográficos
Autores principales: Juan-Albarracín, Javier, Fuster-Garcia, Elies, Manjón, José V., Robles, Montserrat, Aparici, F., Martí-Bonmatí, L., García-Gómez, Juan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433123/
https://www.ncbi.nlm.nih.gov/pubmed/25978453
http://dx.doi.org/10.1371/journal.pone.0125143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4433123/
https://www.ncbi.nlm.nih.gov/pubmed/25978453
http://dx.doi.org/10.1371/journal.pone.0125143

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