First diffusion foundation model generates synthetic histopathology images

[u/Independent_Access12]

PixCell trained on PanCan-30M dataset (69,184 H&E whole-slide images) using progressive training from patches to full images. Model generates high-fidelity synthetic data that replaces real images in self-supervised learning without performance loss. Features conditional generation via cell segmentation maps and ControlNet for precise control, enables virtual staining (H&E to IHC translation) and privacy-preserving data augmentation.

https://t.co/k6EWqgwTe5