GMMA-Net: A CCTA image segmentation algorithm based on grouped multi-path feature fusion and multi-scale attention

Key Points

• The algorithm achieves enhanced image segmentation in CCTA, improving diagnostic accuracy.
• Notably, the algorithm incorporates multi-path feature fusion and multi-scale attention to boost performance.
• Analysis employs a novel image segmentation approach using advanced algorithmic techniques for optimal results.
• Improved segmentation can lead to better diagnosis; further testing may affirm clinical applicability.