CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation

@article{Kavur2021CHAOSC,
  title={CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation},
  author={A. E. Kavur and N. Gezer and M. Baris and Pierre-Henri Conze and V. Groza and D. D. Pham and Soumick Chatterjee and Philipp Ernst and Savas {\"O}zkan and B. Baydar and D. Lachinov and Shuo Han and J. Pauli and Fabian Isensee and Matthias Perkonigg and R. Sathish and Ronnie Rajan and Sinem Aslan and D. Sheet and G. Dovletov and O. Speck and A. N{\"u}rnberger and Klaus Maier-Hein and G. Akar and G{\"o}zde B. {\"U}nal and O. Dicle and M. A. Selver},
  journal={Medical image analysis},
  year={2021},
  volume={69},
  pages={
          101950
        }
}
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) introduced new state-of-the-art segmentation systems. Despite outperforming the overall accuracy of existing systems, the effects of DL model properties and parameters on the performance are hard to interpret. This makes comparative analysis a necessary tool towards interpretable studies and systems. Moreover, the performance… Expand

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