Corpus ID: 204402481

Methods and open-source toolkit for analyzing and visualizing challenge results

@article{Wiesenfarth2019MethodsAO,
  title={Methods and open-source toolkit for analyzing and visualizing challenge results},
  author={Manuel Wiesenfarth and Annika Reinke and Bennett A. Landman and Manuel Jorge Cardoso and Lena Maier-Hein and Annette Kopp-Schneider},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.05121}
}
  • Manuel Wiesenfarth, Annika Reinke, +3 authors Annette Kopp-Schneider
  • Published in ArXiv 2019
  • Computer Science, Mathematics
  • Biomedical challenges have become the de facto standard for benchmarking biomedical image analysis algorithms. While the number of challenges is steadily increasing, surprisingly little effort has been invested in ensuring high quality design, execution and reporting for these international competitions. Specifically, results analysis and visualization in the event of uncertainties have been given almost no attention in the literature. Given these shortcomings, the contribution of this paper is… CONTINUE READING

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    Robust Medical Instrument Segmentation Challenge 2019

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    CITES BACKGROUND & METHODS

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