Dino U-Net combines a frozen DINOv3 backbone with an adapter and fidelity-aware projection module to achieve state-of-the-art medical image segmentation across seven public datasets.
Bayeseg: Bayesian modeling for medical image segmentation with interpretable generalizability,
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Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
Dino U-Net combines a frozen DINOv3 backbone with an adapter and fidelity-aware projection module to achieve state-of-the-art medical image segmentation across seven public datasets.