Hybrid Transformer-Mamba Architecture Shows Promise in Medical Image Segmentation

This ArXiv paper explores a novel architecture combining Transformer and Mamba models for weakly supervised volumetric medical segmentation. The research suggests potential advancements in medical image analysis by leveraging the strengths of both architectures.

• •Proposes a hybrid Transformer-Mamba architecture.
• •Addresses the challenge of weakly supervised medical image segmentation.
• •Represents a potential advancement in medical image analysis.