Can Masses of Non-Experts Train Highly Accurate Image Classifiers? - A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images

Lena Maier-Hein, Sven Mersmann, Daniel Kondermann, Sebastian Bodenstedt, Alexandro Sanchez, Christian Stock, Hannes Götz Kenngott, Mathias Eisenmann, Stefanie Speidel. Can Masses of Non-Experts Train Highly Accurate Image Classifiers? - A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images. In Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Volume 8674 of Lecture Notes in Computer Science, pages 438-445, Springer, 2014. [doi]

Abstract

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