MD-Mamba: A multi-scale dilated state-space network for breast cancer histopathology image classification

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.