Milica Škipina

Flow Matching for Generating Weakly Labeled Bags of Foundation-Model Mammography Representations

Annotated medical imaging data remain scarce, and labels are often weak and noisy: in mammography, an examination comprises several high-resolution views, yet the diagnostic outcome is recorded only at the breast level. Such problems are naturally cast as Multiple Instance Learning (MIL), where the model must infer ins...