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.