FeTS-2021

FeTS2021 is a federated dataset used to evaluate segmentation models in medical imaging, specifically focusing on the challenges of training with unannotated data silos.

Papers using FeTS-2021 (2)

Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging2023 · 1 citesRegularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation2023