Preprint Open access
Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
Histological whole-slide images (WSIs) are central to computational pathology but pose severe computational challenges due to their extremely high resolution, often spanning several gigabytes per slide. To enable scalable learning, existing methods apply self-supervised data condensation to reduce computational cost, b …