ML Anthology

ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently

Mehrnoosh Sameki, Danna Gurari, Margrit Betke
CVPRW 2016 pp. 1380-1389
doi:10.1109/CVPRW.2016.174 /cvprw/2016/sameki2016cvprw-icord/
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Cite

Text

Sameki et al. "ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.174

Markdown

[Sameki et al. "ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/sameki2016cvprw-icord/) doi:10.1109/CVPRW.2016.174

BibTeX

@inproceedings{sameki2016cvprw-icord,
  title     = {{ICORD: Intelligent Collection of Redundant Data - A Dynamic System for Crowdsourcing Cell Segmentations Accurately and Efficiently}},
  author    = {Sameki, Mehrnoosh and Gurari, Danna and Betke, Margrit},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {1380-1389},
  doi       = {10.1109/CVPRW.2016.174},
  url       = {https://mlanthology.org/cvprw/2016/sameki2016cvprw-icord/}
}