A dual-branch CLIP adaptation with learnable adapters and text prompts, trained with SigLIP loss, achieves state-of-the-art few-shot medical anomaly detection and segmentation.
Jama 318(22), 2199–2210 (2017)
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MadCLIP: Few-shot Medical Anomaly Detection with CLIP
A dual-branch CLIP adaptation with learnable adapters and text prompts, trained with SigLIP loss, achieves state-of-the-art few-shot medical anomaly detection and segmentation.