SDFusion: Fractional-order structural tensor-guided dynamic frequency enhancement network for medical image fusion

Key Points

• Improved medical image fusion results in clearer and more informative images for diagnostic use.
• Achieves significant enhancement in image quality by utilizing a dynamic frequency enhancement technique.
• Implemented a neural network approach combined with fractional-order structural tensor methods for fusion tasks.
• May enable better integration of multi-modal imaging data, supporting clinical decision-making.