swiss-ai/patho-ssl-data-curation

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology Abstract Vision foundation models (FMs) are accelerating the devel- opment of digital pathology algorithms and transforming biomedical research. These models learn, in a self-supervised manner, to represent histological features in highly heterogeneous tiles extracted from whole-slide images (WSIs) of real-world patient samples. The performance of these FMs is significantly influenced by the… See the full description on the dataset page: https://huggingface.co/datasets/swiss-ai/patho-ssl-data-curation.