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Found 2 papers, 1 papers with code
Memory-aware curriculum federated learning for breast cancer classification
Our curriculum controls the order of the training samples paying special attention to those that are forgotten after the deployment of the global model.
Lightweight U-Net for High-Resolution Breast Imaging
We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening.
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