Before revision:  We evaluate four key areas that we consider vital for deep learning in the clinical practice: (1) Active Learning - to choose the best data to annotate for optimal model performance;
After revision:  We evaluate four key areas that we consider vital for deep learning in the clinical practice: (1) Active Learning to choose the best data to annotate for optimal model performance;