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Conclusions

Radiomics is an emerging field that translate

medical images in to quantitative data to enable

phenotypic profiling.

Radiomics has some potential as “poor man”

molecular imaging to quantify tumour heterogeneity

and Tumour biology.

4D-Radiomics, e.g. with cone beam CT could be

used to record response to various treatment.

Distributed learning from federated databases is the

future of Big Data in health care.