[EN] Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, ...
[EN] The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool
that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data
set for training CBMIR models. ...