Unleashing Diffusion and State Space Models for Medical Image Segmentation
DSM is a framework for medical image segmentation that uses diffusion and state space models to segment unseen tumors. It employs two sets of queries—organ and tumor—refined by diffusion guidance to achieve high accuracy across diverse scenarios, overcoming limitations of training data.