Fig. 2From: Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trialsU-Net architecture with the segmentation and classification branches. Using mammography images as input, the segmentation branch is used to for segmentation of calcifications, whilst the classification branch is used to distinguish low-risk from high-risk DCISBack to article page