Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography (2026)⭐7

A new method reveals why fine-grained malignancy cues degrade in weakly supervised mammography, with 95.6% of latent features lying orthogonal to supervisory si...