The importance of feature aggregation in radiomics: a head and neck cancer study.
In standard radiomics studies the features extracted from clinical images are mostly quantified with simple statistics such as the average or variance per Region of Interest (ROI). Such approaches may smooth out any intra-region heterogeneity and thus hide some tumor aggressiveness that may hamper predictions.
- Ref: Sci Rep. 2020 Nov 12;10(1):19679.
- Année de publication : 2020
- Auteurs : Fontaine P, Acosta O, Castelli J, De Crevoisier R, Müller H, Depeursinge A.
- Réseaux : Réseaux: « Vectorisation, Imagerie, Radiothérapies »