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Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images
BACKGROUND AND PURPOSE: Robust, automated segmentation algorithms are required for quantitative analysis of large imaging datasets. We developed an automated method that identifies and labels brain tumor–associated pathology by using an iterative probabilistic voxel labeling using k-nearest neighbor...
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| Veröffentlicht in: | AJNR Am J Neuroradiol |
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| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Society of Neuroradiology
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7964326/ https://ncbi.nlm.nih.gov/pubmed/25414001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A4171 |
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