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@ARTICLE{Yu:838772,
      author       = {Yu, Jiaxin and Wellmann, Jan Florian and Virgo, Simon
                      Matthias and von Domarus, Marven and Jiang, Mingze and
                      Schmatz, Joyce and Leibe, Bastian},
      title        = {{S}uperpixel segmentations for thin sections: evaluation of
                      methods to enable the generation of machine learning
                      training data sets},
      reportid     = {RWTH-2022-00748},
      pages        = {42 Seiten : Illustrationen, Diagramme},
      year         = {2021},
      cin          = {541220 / 123710 / 530000 / 120000 / 531220 / 124720},
      cid          = {$I:(DE-82)541220_20171001$ / $I:(DE-82)123710_20200205$ /
                      $I:(DE-82)530000_20140620$ / $I:(DE-82)120000_20140620$ /
                      $I:(DE-82)531220_20140620$ / $I:(DE-82)124720_20160808$},
      pnm          = {PFSDS023 - MINERALS: Machine learning training set for
                      virtual microscopy (EXS-PF-PFSDS023) / ERS Prep Fund -
                      Exploratory Research Space: Prep Fund als
                      Anschubfinanzierung zur Schließung strategischer Lücken
                      (EXS-PF) / EXS - Excellence Strategy (EXS)},
      pid          = {G:(DE-82)EXS-PF-PFSDS023 / G:(DE-82)EXS-PF / G:(DE-82)EXS},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.31223/X55S65},
      url          = {https://publications.rwth-aachen.de/record/838772},
}