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A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successfully for a long time, the complexity of histological tissue samples has prevented a reliable classification with machine vision techniques. We approach this complex problem in multiple stages, analyzing first image quality, staining quality, and tissue appearance, before segmenting nuclei and finally classifying ordoi:10.1109/icpr.2008.4761112 dblp:conf/icpr/CosattoMGM08 fatcat:lemcnxepl5clnp4unw5ury4b6e