AI Model Generates Paired Mammogram Views to Expand Breast Cancer Screening Data

Researchers developed a denoising diffusion model that simultaneously synthesizes complementary mammogram views (CC and MLO) of single breasts, addressing dataset gaps that limit cancer screening algorithms. The difference-guided approach preserves anatomical consistency across projections, enabling synthetic data generation for improved cross-view AI applications in breast imaging.