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Open access Sep 2026

TomoMamba: a two-stage model with state-space cross-slice propagation for breast cancer diagnosis in digital breast tomosynthesis

Digital breast tomosynthesis (DBT) provides volumetric image stacks that improve lesion conspicuity compared with two-dimensional (2D) mammography, yet most automated methods process slices independently and discard the depth-wise continuity that underpins this advantage. We introduce TomoMamba, a two-stage deep learni...

Shahd W. Soliman, Yalda Zafari, E. Rashed et al. · 0 citations
Preprint Aug 2026

Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification

Evaluated on four datasets, Energy-Mamba achieves state-of-the-art classification performance with significantly fewer parameters, demonstrating that physics-informed grounding can enhance both efficiency and representational quality in medical vision tasks.

M. Mabrok, Yalda Zafari, E. Rashed · 0 citations

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