Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI.

•We introduce a new nomenclature to categorise detection and classification methods: pre-hoc and post-hoc.•We introduce a new post-hoc method based on meta-training guided by curriculum learning, and a 1-class saliency detector.•We introduce a new pre-hoc approach that uses deep reinforcement learning for detecting lesions.•We also introduce a thorough comparison between the pre- and post-hoc approaches for breast screening from breast DCE-MRI.•Results show that post-hoc methods produce more accurate diagnosis, while pre-hoc methods are better at detecting the lesions.