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...

Descripción completa

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

Internet

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

Ejemplares similares