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High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features
Statistical features are widely used in radiology for tumor heterogeneity assessment using magnetic resonance (MR) imaging technique. In this paper, feature selection based on decision tree is examined to determine the relevant subset of glioblastoma (GBM) phenotypes in the statistical domain. To di...
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| Veröffentlicht in: | Adv Bioinformatics |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4660016/ https://ncbi.nlm.nih.gov/pubmed/26640485 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/728164 |
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