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Multicut brings automated neurite segmentation closer to human performance

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Figure 1: The automated neurite segmentation pipeline and the influence of its components on performance.

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Acknowledgements

The authors would like to thank I. Arganda-Carreras for running all the blind evaluations on the ISBI2012 challenge and the SNEMI3D data and B. Andres for open-source code on the lifted multicut. We acknowledge support by DFG HA4364/6-1 and 8-1, SFB 1129, SFB 1134, RTG 1653, HGS MathComp and CellNetworks (F.A.H.).

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Correspondence to Fred A Hamprecht.

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The authors declare no competing financial interests.

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Supplementary Notes 1–9 (PDF 2340 kb)

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Multicut Software (ZIP 3476 kb)

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Beier, T., Pape, C., Rahaman, N. et al. Multicut brings automated neurite segmentation closer to human performance. Nat Methods 14, 101–102 (2017). https://doi.org/10.1038/nmeth.4151

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