Fig. 6: Overall architecture of the proposed Prompt-Mamba-AF for HCC lesion segmentation.

The framework integrates a prompt-guided patch embedding with attention-based filtering, a multi-dimension Transformer block with Mamba channels for efficient long-range dependency modeling, and an MLP-based decoder for multi-scale feature fusion.