Multi-Resolution Feature Fusion U-Net for Magnetic Resonance Imaging Segmentation
The MRFFU-Net architecture was developed to improve MRI segmentation by addressing challenges with fine details and global context in anatomical structures. It introduces a Multi-Resolution Feature Fusion module integrated throughout the U-Net structure, alongside attention mechanisms and skip connections. This approach effectively captures both localized details and broad contextual information, leading to superior performance on complex segmentation tasks.