Analysis of extracted Radiomics features is often done using machine learning / statistics software, as the high dimensionality of the data makes this non-trivial.
As to working with the output data from PyRadiomics, I generally work in Python, using packages such as pandas (data cleaning etc, including e.g. calculating changes-over-time: delta-radiomics), numpy (numerical operations), scipy (additional formulas, measurements, statistics) and scikit-learn (machine learning).
If you want to do analysis in R, there are equally valid and powerful tools available, but here I have less experience.
Regards,
Joost
Op dinsdag 17 september 2019 17:12:19 UTC+2 schreef RADIOMICS LEARNER: