2020
Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms
ICASSP 2020accepted
In this paper, we address the problem of breast caner detection from multi-view mammograms. We present a novel cross-view attention module (CvAM) which implicitly learns to focus on the cancer-related local abnormal regions and highlighting salient features by exploring cross-view information among…