VerSe`19: Large Scale Vertebrae Segmentation Challenge
The Large Scale Vertebrae Segmentation Challenge (VerSe2019) has been accepted to be held in conjunction with MICCAI 2019, Shenzen, China.
- 11 June `19: Training data (Phase 2) released! (Download from the 'Data' page)
- 1 June `19: Postponement of Training data (Phase 2): The release of the second phase of data has been tentatively postponed to 10 June, 2019.
- 17 May `19: Training data (Phase 1) released! (Download from the 'Data' page). More details regarding the two class of algorithms: fully-automated and interactive, will follow soon.
- 16 May `19: The data host is facing an unexpected IT-related issue due to the file size. We are currently fixing this. Once fixed, the registration requests will be approved and the Phase 1 for training will be made available. Thank you for your patience!
Spine or vertebral segmentation is a crucial step in all applications regarding automated quantification of spinal morphology and pathology. With the advent of deep learning, for such a task on computed tomography (CT) scans, a big and varied data is a primary sought-after resource. However, a large-scale, public dataset is currently unavailable.
Key highlights of this challenge include:
- Public release of a spine dataset with an unprecedented 150 (+50 hidden) CT scans with voxel-level vertebral annotations.
- Two sub-tasks, evaluated and ranked separately: (1) Vertebral localisation and identification. (2) Vertebral segmentation.
- Submissions can be fully-automated and semi-automated/interactive algorithms.
- Best-performing in each sub-tasks and of all varieties, along with off-beat approaches will be collected, analysed, and presented in a journal article co-authored with the contributors.
- Contributors retain the intellectual rights to the submitted codes. The organisers will use it solely towards analysis and manuscripts related to the challenge.
- Training data release:
Phase 1 (
1516 May, 2019)
Phase 2 (
30 May11 June, 2019)
Phase 3 (TBA)
- Test data release: TBA
- Submission opens: TBA
- Submission deadline: TBA
- Additional Dates: Docker submission opening and closing.
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)