AI RESEARCH
DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
arXiv CS.CV
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ArXi:2508.15452v3 Announce Type: replace-cross Numerous deep learning-based solutions have been developed for the automatic recognition of breast cancer using mammography images. However, their performance often declines when applied to data from different domains, primarily due to domain shift - the variation in data distributions between source and target domains. This performance drop limits the safe and equitable deployment of AI in real-world clinical settings.