A framework using RoI-guided token reduction, hard-negative contrastive learning on RoIs, and DINOv2 ViT outperforms baselines in mammogram breast cancer classification.
Boltzmann attention sampling for image analysis with small objects,
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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.