UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation

Understand

Traditionally for improving the segmentation performance of models, most approaches prefer to use adding more complex modules.

• And this is not suitable for the medical field, especially for mobile medical devices, where computationally loaded models are not suitable for real clinical environments due to computational resource constraints.
• Recently, state-space models (SSMs), represented by Mamba, have become a strong competitor to traditional CNNs and Transformers.
• In this paper, we deeply explore the key elements of parameter influence in Mamba and propose an UltraLight Vision Mamba UNet (UltraLight VM-UNet) based on this.