MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation
Abstract: Highlights•The first attempt to explore the potential of masked image modeling on Mamba.•A novel TOKI prioritizes consistency across the state space for causal learning.•A novel bottom-up strategy keeps mask consistency between different architectures.•Introducing hierarchical hybrid decoding to learn multi-scale representations.•Showing effectiveness on CT abdomen, lesion and MR tumor segmentation.
External IDs:doi:10.1016/j.media.2025.103606
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