Federated Learning for Brain Tumor Segmentation Using MRI and Transformers

Author:

Nalawade Sahil,Ganesh Chandan,Wagner Ben,Reddy Divya,Das Yudhajit,Yu Fang F.,Fei Baowei,Madhuranthakam Ananth J.,Maldjian Joseph A.

Publisher

Springer International Publishing

Reference34 articles.

1. Ostrum, Q., et al.: CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2008–2012. Neuro Oncol. 17, v1–v62 (2015)

2. Pati, S., et al.: The Federated Tumor Segmentation (FeTS) Challenge. arXiv:2105.05874 (2021)

3. Bonawitz, K., et al.: Towards Federated Learning at Scale: System Design. arXiv:1902.01046 (2019)

4. McMahan, B., Moore, E., Ramage, D., Hampson, S., y Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. In: Artificial Intelligence and Statistics, pp. 1273–1282. PMLR (2017)

5. Yang, T., et al.: Applied Federated Learning: Improving Google Keyboard Query Suggestions. arXiv:1812.02903 (2018)

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