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Automated unsupervised multi-parametric classification of adipose tissue depots in skeletal muscle
PURPOSE: To introduce and validate an automated unsupervised multi-parametric method for segmentation of the subcutaneous fat and muscle regions in order to determine subcutaneous adipose tissue (SAT) and intermuscular adipose tissue (IMAT) areas based on data from a quantitative chemical shift-base...
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| Huvudupphovsmän: | , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2012
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3573225/ https://ncbi.nlm.nih.gov/pubmed/23097409 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jmri.23884 |
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