Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation

no code implementations • 27 Oct 2022 • Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma

Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise uncertainty maps of the segmentation and allows an implicit ensemble of segmentations to boost the segmentation performance.

Conditional Image Generation Denoising +4