A framework using RoI-guided token reduction, hard-negative contrastive learning on RoIs, and DINOv2 ViT outperforms baselines in mammogram breast cancer classification.
Use of computer-aided detec- tion (cad) tools in screening mammography: a multidis- ciplinary investigation,
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Attend what matters: Leveraging vision foundational models for breast cancer classification using mammograms
A framework using RoI-guided token reduction, hard-negative contrastive learning on RoIs, and DINOv2 ViT outperforms baselines in mammogram breast cancer classification.