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Xiang-Ning Hou

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Open access Sep 2026

LiteFreqMamba:lightweight frequency-enhanced Mamba for efficient 3D brain tumor segmentation

Introduction State Space Models (SSMs) have demonstrated strong potential for 3D brain tumor segmentation owing to their linear computational complexity. However, conventional Mamba-based models are often limited by spectral bias, which favors low-frequency information while overlooking high-frequency boundary details,...

Xiang-Ning Hou, Jun Yao, Qiao-Chu Li et al. · 0 citations

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