FETALFusion: Resolution-Aware State-Space Modeling for Multi-Domain Fetal Head Segmentation

cs.CV, cs.AI

Submitted: 2026-10-13

Updated: 2026-10-13

Comments: Accepted at the 15th International Conference on Image Processing Theory, Tools and Applications, 2026

Code: https://github.com/Ammar-ss/FETALFusion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Attention-ResUNet for Automated Fetal Head Segmentation
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
• VM-UNet: Vision Mamba UNet for Medical Image Segmentation
• Instance Normalization: The Missing Ingredient for Fast Stylization
• Attention U-Net: Learning Where to Look for the Pancreas

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