A Local-Global Fusion Vision Mamba UNet Framework for medical image segmentation

Key Points

• The framework improves medical image segmentation accuracy, providing detailed insights across various modalities.
• Results indicate a significant increase in segmentation performance by 15% compared to traditional methods.
• The approach employs deep learning techniques within a UNet architecture for optimal image fusion and feature extraction.
• Highlighting the need for future validation in diverse healthcare settings remains crucial for generalization.