FETS-2022

The 'FETS-2022' dataset/benchmark is used to evaluate methods for federated tumor segmentation in the context of federated learning.

Papers using FETS-2022 (2)

FedRef: Bayesian Fine-Tuning using a Reference Model to Mitigate Catastrophic Forgetting for Heterogeneous Federated Learning2025FedPID: An Aggregation Method for Federated Learning2024