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Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI
Tumor segmentation is a particularly challenging task in high-grade gliomas (HGGs), as they are among the most heterogeneous tumors in oncology. An accurate delineation of the lesion and its main subcomponents contributes to optimal treatment planning, prognosis and follow-up. Conventional MRI (cMRI...
Gespeichert in:
| Veröffentlicht in: | Neuroimage Clin |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5079350/ https://ncbi.nlm.nih.gov/pubmed/27812502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2016.09.021 |
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