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UNSUPERVISED AUTOMATIC WHITE MATTER FIBER CLUSTERING USING A GAUSSIAN MIXTURE MODEL
Fiber tracking from diffusion tensor images is an essential step in numerous clinical applications. There is a growing demand for an accurate and efficient framework to perform quantitative analysis of white matter fiber bundles. In this paper, we propose a robust framework for fiber clustering. Thi...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2012
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3533447/ https://ncbi.nlm.nih.gov/pubmed/23285315 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2012.6235600 |
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