2021
DOI: 10.5281/zenodo.4573128
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Federated Tumor Segmentation

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“…The Federated Tumor Segmentation (FeTS) challenge [13] is the first challenge to ever be proposed for Federated Learning (FL) and intends to address the hurdles posed by data privacy and regulatory concerns by leveraging FL [14][15][16][17][18]. Specifically, the FeTS 2021 challenge uses clinically acquired, multi-parametric MRI (mpMRI) scans from the multi-institutional BraTS 2020 dataset [3][4][5]19,20], as well as data from various remote independent institutions included in the collaborative network of a real-world federation 2 .…”
Section: Introductionmentioning
confidence: 99%
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“…The Federated Tumor Segmentation (FeTS) challenge [13] is the first challenge to ever be proposed for Federated Learning (FL) and intends to address the hurdles posed by data privacy and regulatory concerns by leveraging FL [14][15][16][17][18]. Specifically, the FeTS 2021 challenge uses clinically acquired, multi-parametric MRI (mpMRI) scans from the multi-institutional BraTS 2020 dataset [3][4][5]19,20], as well as data from various remote independent institutions included in the collaborative network of a real-world federation 2 .…”
Section: Introductionmentioning
confidence: 99%
“…We intend to extend it with the results of the challenge in a future version. A structured challenge design document, describing the aspects of the challenge according to the BIAS protocol [21], to ensure consistent interpretation of the challenge results, is available at [13].…”
Section: Introductionmentioning
confidence: 99%