Hostname: page-component-84b7d79bbc-x5cpj Total loading time: 0 Render date: 2024-07-30T03:12:08.387Z Has data issue: false hasContentIssue false

Combining a Convolutional Neural Network and Watershed Segmentation for Identifying U-Bearing Particles in Secondary Ion Mass Spectrometry Images

Published online by Cambridge University Press:  04 August 2017

Jay G. Tarolli
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
Benjamin E. Naes
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.
David Willingham
Affiliation:
Pacific Northwest National Laboratory, Richland, WA, USA.

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
© Microscopy Society of America 2017 

References

[1] Willingham, D, et al, Journal of Vacuum Science & Technology B 34 2016). p. 03H106.CrossRefGoogle Scholar
[2] Shellhamer, E, Jong, J & Darrell, T ArXiv e-prints (2016).Google Scholar
[3] The research described in this paper was conducted under the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory, a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy.Google Scholar