Abstract
Digital tissue images are too big to be processed with traditional image processing pipelines. We resort to the nuclear architecture within the tissue to explore such big images with geometrical and topological representations based on Delaunay triangulations of seed points. Then, we relate this representation to the parsimonious paradigm. Finally, we develop specific mathematical morphology operators to analyze any point set and contribute to the exploration of these huge medical images.
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Loménie, N. (2013). Visual Point Set Processing with Lattice Structures: Application to Parsimonious Representations of Digital Histopathology Images. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2013. Lecture Notes in Computer Science, vol 8085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40020-9_94
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DOI: https://doi.org/10.1007/978-3-642-40020-9_94
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