Artificial Intelligence #federated learning#medical image segmentation
Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection
Federated learning enables collaborative medical image segmentation without centralizing sensitive data, but real-world label noise hampers deployment. A new benchmark suite combines diverse real-world noisy datasets, client-noise scenarios, and targeted evaluation to support systematic assessment of federated noisy label learning methods, addressing the gap left by synthetic noise studies.
Jun 16, 2026 1 source