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An Automated Algorithm to Identify and Quantify Brown Adipose Tissue in Human (18)F-FDG-PET/CT Scans
OBJECTIVE: To develop an algorithm to identify and quantify BAT from PET/CT scans without radiologist interpretation. DESIGN AND METHODS: Cases (n = 17) were randomly selected from PET/CT scans with documented “brown fat” by the reviewing radiologist. Controls (n = 18) had no documented “brown fat”...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3910095/ https://ncbi.nlm.nih.gov/pubmed/23408435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/oby.20315 |
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