DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference

arXiv:2404.16474v1 Announce Type: new
Abstract: Weakly supervised medical image segmentation (MIS) using generative models is crucial for clinical diagnosis. However, the accuracy of the segmentation results is often limited by insufficient supervision and the complex nature of medical imaging. Existing models also only provide a single outcome, which does not allow for the measurement of uncertainty. In this paper, we introduce DiffSeg, a segmentation model for skin lesions based on diffusion difference which exploits diffusion model principles to ex-tract noise-based …

abstract accuracy arxiv clinical cs.ai cs.cv diagnosis difference diffusion generative generative models however image imaging medical medical imaging nature results segmentation supervision type