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Preselection of robust radiomic features does not improve outcome modelling in non-small cell lung cancer based on clinical routine FDG-PET imaging

BACKGROUND: Radiomics is a promising tool for identifying imaging-based biomarkers. Radiomics-based models are often trained on single-institution datasets; however, multi-centre imaging datasets are preferred for external generalizability owing to the influence of inter-institutional scanning diffe...

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Detalles Bibliográficos
Autores principales:	Oliveira, Carol, Amstutz, Florian, Vuong, Diem, Bogowicz, Marta, Hüllner, Martin, Foerster, Robert, Basler, Lucas, Schröder, Christina, Eboulet, Eric I., Pless, Miklos, Thierstein, Sandra, Peters, Solange, Hillinger, Sven, Tanadini-Lang, Stephanie, Guckenberger, Matthias
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8380219/ https://www.ncbi.nlm.nih.gov/pubmed/34417899 http://dx.doi.org/10.1186/s13550-021-00809-3

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