Table 1.

Pros and cons of radiomics and deep learning

Pros	Cons
Radiomics
Explainable	Generalizability issues
Require less data for training	Radiomics signature to assess the same problem are often based on different parameters
Deep learning
Often achieve better results	Black box
Better generalizability	Require more data for training