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Deep Learning Based Atom Segmentation and Noise and Missing-Wedge Reduction for Electron Tomography

Published online by Cambridge University Press:  01 August 2018

Mengshu Ge  and
Huolin L. Xin
Mengshu Ge
Affiliation:
Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, USA
Huolin L. Xin
Affiliation:
Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, NY, USA

Abstract

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Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S1: Proceedings of Microscopy & Microanalysis 2018 , August 2018 , pp. 504 - 505
Copyright
© Microscopy Society of America 2018 

References

[1] Zaitoun, Nida M. Musbah, J. Aqel Procedia Computer Science 65 2015) p. 797.Google Scholar
[2] Ronneberger, Olaf, Fischer, Philipp Brox, Thomas Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, LNCS Vol.9351, 234–241, 2015.Google Scholar
[3] This research used resources of the Center for Functional Nanomaterials, which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory under Contract No. DE-SC0012704.Google Scholar