MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer

arXiv:2402.16298v1 Announce Type: new
Abstract: Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrently examine all views within a mammography exam, leveraging the inherent correlations in these views to effectively detect tumors. Acknowledging the significance of multi-view analysis, some studies have introduced methods that independently process mammogram views, either through distinct convolutional branches or simple fusion strategies, inadvertently leading to a loss of crucial inter-view correlations. In this paper, …

arxiv classification cs.ai cs.cv mammogram swin swin transformer transformer type view