Open access
May 2024
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
RayDINO is introduced, a self-supervised chest X-ray foundation model trained on 840,000 images, that outperforms supervised methods across nine radiology tasks and shows improved generalization and reduced bias across demographics.
Théo Moutakanni, P. Bojanowski, G. Chassagnon et al.
· Nature Communications · 28 citations
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