An attribute-guided dual-branch framework fuses a standard classifier with an interpretable attribute-prior branch to boost ultrasound classification accuracy and explainability.
Xfmamba: Cross-fusion mamba for multi-view medical image classification
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
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A framework using RoI-guided token reduction, hard-negative contrastive learning on RoIs, and DINOv2 ViT outperforms baselines in mammogram breast cancer classification.
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Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework
An attribute-guided dual-branch framework fuses a standard classifier with an interpretable attribute-prior branch to boost ultrasound classification accuracy and explainability.
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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.