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Native 3D CT foundation model extending DINO self-distillation to a hierarchical Swin backbone, pretrained on 11,000 unlabeled radiology volumes.
Histopathology foundation models trained on up to 100x fewer whole-slide images than peers, matching UNI-2 across 13 tile- and slide-level tasks.
Five DINO and DINOv2 tile encoders pretrained on 29k open-access TCGA slides, sampled online at four magnifications instead of a fixed patch set.