Improving breast cancer risk prediction models could enable more personalized screening. This would enhance the benefits of screening while limiting the harms. This study will evaluate the performance of multi-feature image risk score models in a large population-based cohort; determine whether image-based scores predict breast cancer risk independently of clinical and genetic predictors; and ransfer the best image-based algorithm from 2D to 3D images.