Contrastive Re-localization and History Distillation in Federated CMR Segmentation

no code implementations • MICCAI 2022 2022 • Xiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, Shuo Li

In this work, a cross-center cross-sequence medical image segmentation FL framework (FedCRLD) is proposed for the first time to facilitate multi-center multi-sequence CMR segmentation.

Federated Learning Image Segmentation +3