Evaluation of prognostic models developed using standardised image features from different PET autom...
Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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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 definition of the metabolic tumour volume. This...
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Full title
Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods
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TN_cdi_doaj_primary_oai_doaj_org_article_9df531033e3f40ef86a5faf8526e3fa5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9df531033e3f40ef86a5faf8526e3fa5
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ISSN
2191-219X
E-ISSN
2191-219X
DOI
10.1186/s13550-018-0379-3
