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Assessing radiomic feature robustness to interpolation in (18)F-FDG PET imaging
Radiomic studies link quantitative imaging features to patient outcomes in an effort to personalise treatment in oncology. To be clinically useful, a radiomic feature must be robust to image processing steps, which has made robustness testing a necessity for many technical aspects of feature extract...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6609613/ https://ncbi.nlm.nih.gov/pubmed/31273242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-46030-0 |
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