AI RESEARCH
SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
arXiv CS.CV
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ArXi:2604.03134v1 Announce Type: new Few-Shot Medical Image Segmentation (FSMIS) aims to segment novel object classes in medical images using only minimal annotated examples, addressing the critical challenges of data scarcity and domain shifts prevalent in medical imaging. While Diffusion Models (DM) excel in visual tasks, their potential for FSMIS remains largely unexplored. We propose that the rich visual priors learned by large-scale DMs offer a powerful foundation for a robust and data-efficient segmentation approach. In this paper, we.