Swin-DWA: Enhancing Information Flow in Swin Transformer-Based Low-Dose CT Image Denoising via Depth-Weighted Averaging

Key Points

• Improved image denoising effectively reduces noise in low-dose CT scans, enhancing diagnostic clarity and utility.
• Depth-weighted averaging significantly enhances information flow in Swin transformer frameworks, outperforming traditional methods.
• Assessment employing advanced image processing techniques showcases the potential of AI in imaging applications.
• This approach may enable better clinical outcomes through optimized imaging quality in varied settings.