Novel Ultralight Mamba-based Model Advances Skin Lesion Segmentation

This research introduces a novel model, UltraLBM-UNet, for skin lesion segmentation, potentially improving diagnostic accuracy. The use of a Mamba-based architecture, known for its efficiency, suggests improvements in computational cost compared to other segmentation models.

• •UltraLBM-UNet utilizes a Mamba-based architecture, indicating potential efficiency gains.
• •The model is designed for skin lesion segmentation, which is crucial for early diagnosis of skin cancer.
• •The research is published on ArXiv, suggesting peer review is pending or preliminary findings.