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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 ,
Benjamin E. Naes  and
David Willingham
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

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 118 - 119
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