Neural implicit functions enable resolution-agnostic, deterministic virtual staining from H&E to IHC images with SOTA results and better low-data performance than patch-based GAN or diffusion methods.
Staindiffuser: mul- titask dual diffusion model for virtual staining
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HistDiT introduces a structure-aware latent conditional DiT with dual-stream conditioning and multi-objective loss that outperforms GANs and U-Net diffusion models for high-fidelity virtual histological staining.
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IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
Neural implicit functions enable resolution-agnostic, deterministic virtual staining from H&E to IHC images with SOTA results and better low-data performance than patch-based GAN or diffusion methods.
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HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology
HistDiT introduces a structure-aware latent conditional DiT with dual-stream conditioning and multi-objective loss that outperforms GANs and U-Net diffusion models for high-fidelity virtual histological staining.