VerSe`19: Large Scale Vertebrae Segmentation Challenge

The Large Scale Vertebrae Segmentation Challenge (VerSe2019) was held in conjunction with MICCAI 2019, Shenzen, China.  


Overview

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) 120 (+40 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.


Important Dates:

  • Training data release:
    Phase 1 (16 May, 2019)
    Phase 2 (11 June, 2019)
    Phase 3 (17 July, 2019)
  • Test data release: 01 07 Aug, 2019
  • Submission opens (Test Phase 1 ): 01 07 Aug, 2019
  • Submission deadline (Test Phase 1): 15  21 Extended till 23 Aug, 2019 (11.59PM EDT) 
  • Docker Submission Opens (Test Phase 2): 01  07 Aug, 2019 
  • Docker Submission Closes (Test Phase 2): 30 06 Sep, 2019 (11.59PM EDT)


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)