2 papers
cs.CV2024
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model
Dominik Winter, Nicolas Triltsch, Marco Rosati +8
Creating in-silico data with generative AI promises a cost-effective alternative to staining, imaging, and annotating whole slide images in computational pathology. Diffusion model…
eess.IV2024
ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation
Dominik Winter, Nicolas Triltsch, Philipp Plewa +5
The creation of in-silico datasets can expand the utility of existing annotations to new domains with different staining patterns in computational pathology. As such, it has the po…