M4Fuse introduces a lightweight state-space MoE architecture with cross-scale dual-stage gating that reduces parameters by 62.63% and improves average performance by 0.09% on BraTS2019 and BraTS2021 even at half the usual input resolution.
Narrowing the semantic gaps in u-net with learnable skip connections: The case of medical image segmentation.Neu- ral Networks, 178:106546, 2024
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M\textsuperscript{4}Fuse: Lightweight State-Space MoE with a Cross-Scale Gating Bridge for Brain Tumor Segmentation
M4Fuse introduces a lightweight state-space MoE architecture with cross-scale dual-stage gating that reduces parameters by 62.63% and improves average performance by 0.09% on BraTS2019 and BraTS2021 even at half the usual input resolution.