VerSe`20: Large Scale Vertebrae Segmentation Challenge
VerSe is now fully open-sourced!
- We strongly recommend you visit: https://github.com/anjany/verse
- This page will no longer be maintained. (This includes join requests and leaderboard)
- The VerSe benchmark is published in Medical Image Analysis (2019 & 2020) :
DOI: https://doi.org/10.1016/j.media.2021.102166
arXiv Version: https://arxiv.org/abs/2001.09193
DOI: https://doi.org/10.1016/j.media.2021.102166
arXiv Version: https://arxiv.org/abs/2001.09193
Quick Info:
- Date: 04 October, 2020.
- Time: 0900 - 1300hrs (UTC Time)
- Program for MICCAI satellite events here.
- Head over to the Announcements page for the most up-to-date information. (VerSe'20 submissions phases have ended. Results out on challenge day, Oct 4th!)
- The 2nd iteration of Large Scale Vertebrae Segmentation Challenge (VerSe2020) will in conjunction with MICCAI 2020.
- Looking for VerSe @ MICCAI 2019, Shenzhen? Here you go!
VerSe'20 Program
What is new?
- With VerSe'20, we aim to work with 300 CT scans (~100% increase over its previous iteration).
- While retaining the richness of its predecessor, the data will now be multi-centre, covering multiple scanners from all four major manufacturers.
- Additionally, challenging the learning algorithms, focus is given to include atypical anatomies such as transitional vertebrae and additional vertebrae such as L6 and T13.
- With clinical-translation being the primary objective of data preparation, we believe the algorithms using this data would more robust and generalisable.
Dates
* Please note that these dates are tentative
- Training data release: 15 May 2020 ✅
- Test data release (Phase 1): 03 August 2020
20 July 2020✅ - Submission system OPEN: 04 August 2020
03 August 2020✅ - (Phase 1) Submission system CLOSE: 07 August 2020 ✅
- (Phase 2) Docker submission deadline: 21 August 2020 ✅
Sponsorship
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 637164 — iBack — ERC-2014-STG)
