BU-CE-1301: PDF
Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images: Supplementary Material
More rapid and accurate high-throughput screening becomes possible with the development of automated microscopy imaging, for which cell nucleus segmentation commonly constitutes the core step. This technical report contains the supplementary material for the model-based algorithm that we developed for segmenting cell nuclei in fluorescence microscopy images.Keywords: Nucleus segmentation, model-based segmentation, fluorescence microscopy imaging, graph, attributed relational graph.
BU-CE-1302: PDF
Scaling forecasting algorithms using clustered modeling
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