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PET image segmentation using a Gaussian mixture model and Markov random fields
BACKGROUND: Classification algorithms for positron emission tomography (PET) images support computational treatment planning in radiotherapy. Common clinical practice is based on manual delineation and fixed or iterative threshold methods, the latter of which requires regression curves dependent on...
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| Pubblicato in: | EJNMMI Phys |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4545759/ https://ncbi.nlm.nih.gov/pubmed/26501811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40658-015-0110-7 |
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