{\rtf1\ansi\deff0\deftab360

{\fonttbl
{\f0\fswiss\fcharset0 Arial}
{\f1\froman\fcharset0 Times New Roman}
{\f2\fswiss\fcharset0 Verdana}
{\f3\froman\fcharset2 Symbol}
}

{\colortbl;
\red0\green0\blue0;
}

{\info
{\author Biblio 7.x}{\operator }{\title Biblio RTF Export}}

\f1\fs24
\paperw11907\paperh16839
\pgncont\pgndec\pgnstarts1\pgnrestart
 Maier-Hein, L, Mersmann, S, Kondermann, D, Bodenstedt, S, Sanchez, A, Stock, C, Kenngott, H, Eisenmann, M and Speidel, S (2014). Can masses of non-experts train highly accurate image classifiers? A crowdsourcing approach to instrument segmentation in laparoscopic images. MICCAI\par \par }