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Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer
Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor characteristics associated with prognosis is important. This study aims to investigate the utility of radiomics with machine learning using (18)F-fluorodeoxyglucose (FDG)-PET in patients with pancreatic can...
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| I publikationen: | Sci Rep |
|---|---|
| Huvudupphovsmän: | , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group UK
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7550575/ https://ncbi.nlm.nih.gov/pubmed/33046736 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73237-3 |
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