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Progress Toward Automatic Segmentation of Soft X-ray Tomograms Using Convolutional Neural Networks

Published online by Cambridge University Press:  04 August 2017

Tia Plautz ,
Rosanne Boudreau ,
Jian-Hua Chen ,
Axel Ekman ,
Mark LeGros ,
Gerry McDermott  and
Carolyn Larabell
Tia Plautz
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Rosanne Boudreau
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Jian-Hua Chen
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Axel Ekman
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Mark LeGros
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Gerry McDermott
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA
Carolyn Larabell
Affiliation:
Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Lab, Berkeley, CA, USA

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 984 - 985
Copyright
© Microscopy Society of America 2017 

References

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[8] The National Center for X-ray Tomography is supported by NIH (P41GM103445) and DOE's Office of Biological and Environmental Research (DE-AC02-5CH11231).Google Scholar