Can Masses of Non-Experts Train Highly Accurate Image Classifiers? A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images (bibtex)
by L. Maier-Hein, S. Mersmann, D. Kondermann, S. Bodenstedt, A. Sanchez, C. Stock, H. Kenngott, M. Eisenmann, S. Speidel
Reference:
Can Masses of Non-Experts Train Highly Accurate Image Classifiers? A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images (L. Maier-Hein, S. Mersmann, D. Kondermann, S. Bodenstedt, A. Sanchez, C. Stock, H. Kenngott, M. Eisenmann, S. Speidel), In MICCAI. Proceedings, 2014. (1)
Bibtex Entry:
@InProceedings{maier-hein_14_can,
  Title                    = {Can Masses of Non-Experts Train Highly Accurate Image Classifiers? A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images},
  Author                   = {Maier-Hein, L. and Mersmann, S. and Kondermann, D. and Bodenstedt, S. and Sanchez, A. and Stock, C. and Kenngott, H. and Eisenmann, M. and Speidel, S.},
  Booktitle                = {MICCAI. Proceedings},
  Year                     = {2014},
  Note                     = {1},

  Owner                    = {ipsec},
  Timestamp                = {2014.11.21}
}