Hierarchical, model‐based merging of multiple fragments for improved three‐dimensional segmentation of nuclei

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A benchmark for comparison of cell tracking algorithms (2014, methodology): “After the ISBI 2013 workshop, the organizing committee confirmed the accuracy of the submitted results and compiled the final rankings presented in this article.”
Bioimage informatics: a new area of engineering biology (2008, methodology): “Modelbased merging was considered to reduce the over-segmentation (Lin et al., 2005; Long et al., 2007c).”
A hyperfused mitochondrial state achieved at G1–S regulates cyclin E buildup and entry into S phase (2009, unknown): “stack, mitochondrial elements were segmented (31).”
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review (2016, methodology): “[185] to handle various types of cell nuclei such as neuronal”
Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images (2010, methodology): “its many variants and improvements [2], [3], [5], [9]–[11], [16], [44], [45].”
Segmentation of Clustered Nuclei With Shape Markers and Marking Function (2009, methodology): “Region merging approaches could be based on shape or sizes of cells or nuclei [8], [16], [17].”