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BruNet is a segmentation framework that combines a ViT-based visual encoder with a SAM-based mask decoder that outperforms CNN-based models, state-of-the-art segmentation models, ChatGPT-4o/5-assisted SAM2 zero-shot baselines, and the medical-oriented MedSAM model, demonstrating strong cross-domain generalisation to bruise segmentation.
