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By communicating in a shared latent space, Latent-DARM lets you combine the global planning of diffusion models with the fluency of autoregressive models, boosting reasoning accuracy by up to 14% while slashing token usage.
Achieve near state-of-the-art gland segmentation with only sparse pathologist annotations by using a teacher-student framework with progressive pseudo-mask refinement.
Unlock the hidden knowledge in millions of pathology reports: PathoScribe turns static archives into a reasoning-enabled "living library" accessible via natural language.
