Skip to content

miruna20/MedicalDataAugmentationTool-VerSe

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net

Usage

This code has been used for the Verse2019 and Verse2020 challenges, as well as the paper Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net. Look into the subfolders verse2019 and verse2020 for running the code and further instructions.

Citation

If you use this code for your research, please cite our paper and the overview paper of the Verse2019 challenge:

@inproceedings{Payer2020,
  title     = {Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net},
  author    = {Payer, Christian and {\v{S}}tern, Darko and Bischof, Horst and Urschler, Martin},
  booktitle = {Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP},
  doi       = {10.5220/0008975201240133},
  pages     = {124--133},
  volume    = {5},
  year      = {2020}
}
@misc{Sekuboyina2020verse,
 title         = {VerSe: A Vertebrae Labelling and Segmentation Benchmark},
 author        = {Anjany Sekuboyina and Amirhossein Bayat and Malek E. Husseini and Maximilian Löffler and Markus Rempfler and Jan Kukačka and Giles Tetteh and Alexander Valentinitsch and Christian Payer and Martin Urschler and Maodong Chen and Dalong Cheng and Nikolas Lessmann and Yujin Hu and Tianfu Wang and Dong Yang and Daguang Xu and Felix Ambellan and Stefan Zachowk and Tao Jiang and Xinjun Ma and Christoph Angerman and Xin Wang and Qingyue Wei and Kevin Brown and Matthias Wolf and Alexandre Kirszenberg and Élodie Puybareauq and Björn H. Menze and Jan S. Kirschke},
 year          = {2020},
 eprint        = {2001.09193},
 archivePrefix = {arXiv},
 primaryClass  = {cs.CV}
}

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.0%
  • Other 1.0%