Robust semi-supervised segmentation with timestep ensembling diffusion models
Margherita Rosnati · Mélanie Roschewitz · Ben Glocker
Abstract
Our research focuses on Semi-Supervised medical image Segmentation (SSS) using Denoising Diffusion Probabilistic Models latent representations and addressing domain generalisation. We find that optimal performance depends on the choice of diffusion steps and ensembling and craft a method outperforming competitors in domain-shifted settings.
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