Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle

•Breast-CT is a new imaging modality, however, the lack in data can be compensated using data from mammographies for training•A dCNN trained with mammographic images can detect microcalcifications on breast-CT images with high accuracy.•Healthy tissue is often misclassified as suspicious calcifications, requiring a second reading by a radiologist for accurate diagnosis.