Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Dec 18;5:180294. doi: 10.1038/sdata.2018.294

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2018, The Author(s)

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

PMC Copyright notice

The highest variability occurs for the spleen in the native dataset due to the low soft tissue contrast of μCT images (DICE of 0.373) as well as for muscle (native: 0.528 and contrast-enhanced: 0.369), intestine (0.722 and 0.682), and stomach (0.736 and 0.686) for both datasets. All other organs, especially those with clear organ boundaries such as bladder and heart, depict a good Sørensen-Dice coefficient, nearly reaching the optimum 1.0 (=perfect overlap). Statistical significances are shown as pair-wise significance matrices (p < 0.05 in green). The matrices demonstrate that analysing the native μCT data, the highest user-dependent errors occur for spleen, muscle, and stomach. For the contrast-enhanced μCT data, the highest user-dependent errors occur in segmenting muscle, stomach, and tumor.