SALIENT: Frequency-Aware Paired Diffusion for Controllable Long-Tail CT Detection

Researchers introduce SALIENT, a frequency-aware diffusion model framework that improves detection of rare lesions in CT scans by generating synthetic training data in wavelet domain rather than pixel space. The approach addresses extreme class imbalance in medical imaging through controllable augmentation, achieving significant improvements in detection performance for low-prevalence conditions.