Efficient training of state-of-the-art pathology foundation models on orders of magnitude fewer WSIs

We present novel pathology FMs trained with an adaptation of DINOv2 and post-training on higher-resolution images, achieving superior or comparable performance to state-of-the-art FMs while using up to two orders of magnitude fewer WSIs.