Abstract
Segmentation of histopathological whole-slide images is a challenging task that requires dedicated approaches. In this paper, the fore- and background segmentation problem is addressed by a combination of basic filters, which is evaluated against the established methods GrabCut and Watershed. It is shown that our computationally efficient, dedicated approach performs better than the technically more advanced methods. The main lesson is that dedicated solutions built on prior knowledge can out-compete advanced algorithms.
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© 2015 Springer-Verlag Berlin Heidelberg
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Bug, D., Feuerhake, F., Merhof, D. (2015). Foreground Extraction for Histopathological Whole Slide Imaging. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_72
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DOI: https://doi.org/10.1007/978-3-662-46224-9_72
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