most citedDISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading

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eess.IV2024★ 1 cited

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading

Man M. Ho, Elham Ghelichkhan, Yosep Chong +3

Latent Diffusion Models (LDMs) can generate high-fidelity images from noise, offering a promising approach for augmenting histopathology images for training cancer grading models.…