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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| 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 |