1^st International Challenge on Federated Learning 

MICCAI Federated Tumor Segmentation (FeTS) Challenge 2021 

Strasbourg, France, October 2021 

Call for challenge Participation 

More information in: 

https://miccai2021.fets.ai/  

Twitter: @FeTS_Challenge #FeTS #FeTS2021 

SCOPE: 

The 1st International Challenge on Federated Learning focuses on training computational models across healthcare data silos without ever sharing any patient data. Specifically, the FeTS 2021 challenge has two tasks: 

1.       Task 1 (Federated Training): Evaluate aggregation methods for the creation of a consensus tumor segmentation model, given a pre-defined segmentation algorithm for training. 

2.       Task 2 (Federated Evaluation): Evaluate the generalizability of tumor segmentation algorithms “in the wild”, i.e., on unseen datasets from partner sites of the FeTS initiative (https://www.fets.ai). 

IMPORTANT DATES: 

21 May 2021: Release of training data, example code, and comprehensive instructions 

14 June 2021: Release of validation data 

19 July 2021: Submission of short papers, reporting proposed method & preliminary results 

19 July 2021 – 27 August 2021: Testing Phase (conducted by the organizers) 

03 September 2021: Contacting top performing methods for preparing slides for oral presentation 

01 October 2021: Challenge at MICCAI (France) 

10 October 2021: Extended LNCS paper submission deadline 

24 October 2021: Review feedback 

10 November 2021: Submission deadline for camera-ready paper 

CONTACT: 

• Forum: https://github.com/FETS-AI/Challenge/discussions  
• Email: challenge@fets.ai 

More information in: 

https://miccai2021.fets.ai/  

Twitter: @FeTS_Challenge #FeTS #FeTS2021 

Please spread the word. 

Best wishes,

Spyros  (on behalf of the FeTS challenge organizing committee)