FedDA-TSformer: Federated Domain Adaptation with vision TimeSformer for left ventricle segmentation on gated myocardial perfusion SPECT image
FedDA-TSformer provides a robust, privacy-preserving solution for multi-center left ventricular segmentation, outperforming traditional FedAvg in handling domain shifts. By leveraging the TimeSformer architecture and domain adaptation mechanisms, the framework ensures spatial-temporal consistency and data security across heterogeneous clinical sites. Despite current limitations regarding communication overhead and its focus on a small SPECT-only dataset, this study establishes a scalable foundation for collaborative cardiac diagnosis. Future work will prioritize model compression, asynchronous updates, and cross-modality generalization to CT and MRI to enhance its practicality in resource-constrained environments.
Authors
- Rochak Dhakal
- Guang-Uei Hung
- Min Zhao
- Zhixin Jiang
- Yehong Huang
- Chen Zhao
- Weihua Zhou
Institutions
- Michigan Technological University (US)
- Central South University (CN)
- Kennesaw State University (US)
- Chang Bing Show Chwan Memorial Hospital (TW)
- Third Xiangya Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Methods
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1186/s44330-026-00057-8
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Heart Association
- Kennesaw State University