Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.
It might not be an easy task, but the effort could prove worthwhile—or as a prominent political figure might have said, had he done research in radiomics: “We should choose to bring radiomics to clinical routine in this decade, not because it is easy, but because it is hard; because the goal should be to serve our patients and improve outcomes”.
Good, it's from a paper titled "A decade of radiomics research: are images really data or just patterns in the noise?" in European Radiology. I want to say, let's do it!