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Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods
BACKGROUND: Prognosis in oesophageal cancer (OC) is poor. The 5-year overall survival (OS) rate is approximately 15%. Personalised medicine is hoped to increase the 5- and 10-year OS rates. Quantitative analysis of PET is gaining substantial interest in prognostic research but requires the accurate...
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| Pubblicato in: | EJNMMI Res |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Berlin Heidelberg
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5895559/ https://ncbi.nlm.nih.gov/pubmed/29644499 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13550-018-0379-3 |
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