Diffusion Model in Latent Space for Medical Image Segmentation Task
MedSegLatDiff is proposed, a diffusion based framework that combines a variational autoencoder (VAE) with a latent diffusion model for efficient medical image segmentation that provides enhanced interpretability and reliability compared to deterministic baselines, making the model particularly suitable for clinical dep...