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Benchmarking of Machine Learning and Conventional Image Segmentation Techniques on 3D X-ray Microscopy Data

Published online by Cambridge University Press:  10 August 2018

Matthew Andrew  and
Benjamin Hornberger
Matthew Andrew*
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
Benjamin Hornberger
Affiliation:
Carl Zeiss Microscopy, Pleasanton, CA, USA
*
* Corresponding author, matthew.andrew@zeiss.com

Abstract

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Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S2: Proceedings of the 14th International Conference on X-ray Microscopy (XRM2018) , August 2018 , pp. 118 - 119
Copyright
© Microscopy Society of America 2018 

References

[1] E.g. https://imagej.net/Trainable_Weka_Segmentation or http://ilastik.org/.Google Scholar
[2] https://www.zeiss.com/microscopy/int/website/landingpages/zen-intellesis.html.Google Scholar
[3] Otsu, N IEEE Trans. Syst. Man Cybern. 9 1979) p. 62.CrossRefGoogle Scholar
[4] Jones, AC, et al, Biomaterials 28 2007) p. 2491.CrossRefGoogle ScholarPubMed
[5] http://info.dragonfly-pro.com/home.html.Google Scholar
[6] Andrew, M submitted.Google Scholar