A Hybrid‐Mamba network with dual level attention fusion for multimodal COPD diagnosis

Key Points

• To evaluate the efficacy of a hybrid-Mamba network with dual level attention fusion for diagnosing COPD.
• Developed a hybrid-Mamba network incorporating dual level attention mechanisms.
• Implemented a multimodal approach for data inputs in COPD diagnosis.
• Analyzed performance metrics on diagnostic accuracy.
• Demonstrated improved efficiency in COPD diagnosis compared to conventional methods.

Abstract