Principal component analysis of texture features derived from FDG PET images of melanoma lesions

Principal component analysis of texture features derived from FDG PET images of melanoma lesions

Abstract Background The clinical utility of radiomics is hampered by a high correlation between the large number of features analysed which may result in the “bouncing beta” phenomenon which could in part explain why in a similar patient population texture features identified and/or cut-off values o...

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Bibliographic Details
Main Authors: DeLeu Anne-Leen, Sathekge Machaba, Maes Alex, De Spiegeleer Bart, Beels Laurence, Sathekge Mike, Pottel Hans, Christophe Van de Wiele
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:EJNMMI Physics
Subjects:
Melanoma
Radiomics
LIFEx
Principal component analysis
Online Access:https://doi.org/10.1186/s40658-022-00491-x

Internet

https://doi.org/10.1186/s40658-022-00491-x

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