Anatomy-token prompt tuning with Gaussian location priors improves phrase grounding in a chest X-ray latent diffusion model, beating prior models on MS-CXR-loc and VinDr-CXR.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Anatomy-Grounded Weakly Supervised Prompt Tuning for Chest X-ray Latent Diffusion Models
Anatomy-token prompt tuning with Gaussian location priors improves phrase grounding in a chest X-ray latent diffusion model, beating prior models on MS-CXR-loc and VinDr-CXR.