Federated deep learning for stroke detection: a privacy-preserving, explainable CNN-LSTM framework.
Strict privacy regulations in healthcare limit the centralized sharing of medical imaging data, creating challenges for developing robust and generalizable diagnostic models. Federated learning (FL) offers a privacy-preserving paradigm in which participating institutions collaboratively train a global model without dir...
R. Samuel, Thanapal Pandi
· Frontiers in Neuroscience · 0 citations