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

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.

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Autores principales:	Michael C. Krygier, Tyler LaBonte, Carianne Martinez, Chance Norris, Krish Sharma, Lincoln N. Collins, Partha P. Mukherjee, Scott A. Roberts
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/4620f947e8084fc3b4fac70b7b880286
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id	oai:doaj.org-article:4620f947e8084fc3b4fac70b7b880286
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spelling	oai:doaj.org-article:4620f947e8084fc3b4fac70b7b8802862021-12-02T15:16:10ZQuantifying the unknown impact of segmentation uncertainty on image-based simulations10.1038/s41467-021-25493-82041-1723https://doaj.org/article/4620f947e8084fc3b4fac70b7b8802862021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25493-8https://doaj.org/toc/2041-1723Image-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.Michael C. KrygierTyler LaBonteCarianne MartinezChance NorrisKrish SharmaLincoln N. CollinsPartha P. MukherjeeScott A. RobertsNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Michael C. Krygier Tyler LaBonte Carianne Martinez Chance Norris Krish Sharma Lincoln N. Collins Partha P. Mukherjee Scott A. Roberts Quantifying the unknown impact of segmentation uncertainty on image-based simulations
description	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.
format	article
author	Michael C. Krygier Tyler LaBonte Carianne Martinez Chance Norris Krish Sharma Lincoln N. Collins Partha P. Mukherjee Scott A. Roberts
author_facet	Michael C. Krygier Tyler LaBonte Carianne Martinez Chance Norris Krish Sharma Lincoln N. Collins Partha P. Mukherjee Scott A. Roberts
author_sort	Michael C. Krygier
title	Quantifying the unknown impact of segmentation uncertainty on image-based simulations
title_short	Quantifying the unknown impact of segmentation uncertainty on image-based simulations
title_full	Quantifying the unknown impact of segmentation uncertainty on image-based simulations
title_fullStr	Quantifying the unknown impact of segmentation uncertainty on image-based simulations
title_full_unstemmed	Quantifying the unknown impact of segmentation uncertainty on image-based simulations
title_sort	quantifying the unknown impact of segmentation uncertainty on image-based simulations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4620f947e8084fc3b4fac70b7b880286
work_keys_str_mv	AT michaelckrygier quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT tylerlabonte quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT cariannemartinez quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT chancenorris quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT krishsharma quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT lincolnncollins quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT parthapmukherjee quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations AT scottaroberts quantifyingtheunknownimpactofsegmentationuncertaintyonimagebasedsimulations
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Quantifying the unknown impact of segmentation uncertainty on image-based simulations

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