MD-Mamba integrates state-space modeling with multi-scale dilated convolutions with multi-scale dilated convolutions and enables efficient, interpretable image biomarkers for breast cancer pathology.
Abstract
Highlights • MD-Mamba integrates state-space modeling with multi-scale dilated convolutions.• Dual-path attention improves interpretability and focuses on diagnostic tissue regions.• Achieves 96.25% accuracy with perfect malignant classification on BACH dataset.• Enables efficient, interpretable image biomarkers for breast cancer pathology.
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