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Visualization of heterogeneity and regional grading of gliomas by multiple features using magnetic resonance-based clustered images
Preoperative glioma grading is important for therapeutic strategies and influences prognosis. Intratumoral heterogeneity can cause an underestimation of grading because of the sampling error in biopsies. We developed a voxel-based unsupervised clustering method with multiple magnetic resonance imagi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960553/ https://www.ncbi.nlm.nih.gov/pubmed/27456199 http://dx.doi.org/10.1038/srep30344 |