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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 p...
Autores principales: | Fontaine, Pierre, Acosta, Oscar, Castelli, Joël, De Crevoisier, Renaud, Müller, Henning, Depeursinge, Adrien |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661538/ https://www.ncbi.nlm.nih.gov/pubmed/33184313 http://dx.doi.org/10.1038/s41598-020-76310-z |
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