Fig. 2.

Radiology image analysis workflows.

(A) Handcrafted feature extraction, also referred to as “radiomics,” is an established image analysis technique in radiology image analysis. Alternatively, deep learning, in the form of neural networks, can be used to learn features and predict a target label in a supervised fashion (end-to-end analysis). (B) Common tasks in radiology image analysis are segmentation, classification and prognostication.