Nature Communications (Sep 2021)

Quantifying the unknown impact of segmentation uncertainty on image-based simulations

  • Michael C. Krygier,
  • Tyler LaBonte,
  • Carianne Martinez,
  • Chance Norris,
  • Krish Sharma,
  • Lincoln N. Collins,
  • Partha P. Mukherjee,
  • Scott A. Roberts

DOI
https://doi.org/10.1038/s41467-021-25493-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 11

Abstract

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Image-based simulation for obtaining physical quantities is limited by the uncertainty in the underlying image segmentation. Here, the authors introduce a workflow for efficiently quantifying segmentation uncertainty and creating uncertainty distributions of the resulting physics quantities.