In the field of medicine,<unk>  is a method that extracts a large number of features from medical images using data-characterisation algorithms. These features, termed<unk> features, have the potential to uncover tumoral patterns and characteristics that fail to be appreciated by the naked eye. The hypothesis of<unk>  is that the distinctive imaging features between disease forms may be useful for predicting prognosis and therapeutic response for various cancer types, thus providing valuable information for personalized therapy.<unk>  emerged from the medical fields of radiology and oncology and is the most advanced in applications within these fields. However, the technique can be applied to any medical study where a pathological process can be imaged.
Radiomics
Nuclear medicine
Radiochemistry
Imaging biomarker
Radiology
PET radiotracer
Radiopaedia
ReSPECT process