Federated self-supervised pretraining with masked autoencoders produces GI endoscopy representations that outperform single-site training and approach centralized training on classification, detection, and segmentation.
Artificial intelligence in gastrointestinal endoscopy,
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Federated Foundation Model for GI Endoscopy Images
Federated self-supervised pretraining with masked autoencoders produces GI endoscopy representations that outperform single-site training and approach centralized training on classification, detection, and segmentation.