SD-FSMIS adapts Stable Diffusion for few-shot medical image segmentation via support-query interaction and visual-to-textual translation, yielding competitive performance and strong cross-domain generalization.
Few shot medical image segmentation with cross attention transformer
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SPD improves SAM segmentation robustness to noisy prompts by learning anatomical saliency priors, distilling consensus prompts from adjacent slices, and enforcing pairwise slice consistency.
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SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
SD-FSMIS adapts Stable Diffusion for few-shot medical image segmentation via support-query interaction and visual-to-textual translation, yielding competitive performance and strong cross-domain generalization.
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Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
SPD improves SAM segmentation robustness to noisy prompts by learning anatomical saliency priors, distilling consensus prompts from adjacent slices, and enforcing pairwise slice consistency.