arxiv
PublishedAugust 27, 2026 at 4:00 AM
Unsupervised Anatomical Feature Learning via Diffusion Models: Enhanced Medical Image Segmentation with Denoising Diffusion Probabilistic Models
Publisher summary· verbatim
arXiv:2608.25693v1 Announce Type: cross Abstract: Acquiring pixel-level annotations for medical image segmentation is a severe bottleneck. Traditional U-Net architectures, while effective, learn local texture patterns and lack awareness of global anatomical structures, leading to boundary delineatio
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Originally published on arxiv ↗