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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Detalles Bibliográficos
Autores principales: Whybra, Philip, Parkinson, Craig, Foley, Kieran, Staffurth, John, Spezi, Emiliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609613/
https://www.ncbi.nlm.nih.gov/pubmed/31273242
http://dx.doi.org/10.1038/s41598-019-46030-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609613/
https://www.ncbi.nlm.nih.gov/pubmed/31273242
http://dx.doi.org/10.1038/s41598-019-46030-0

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