Task Based Semantic Segmentation of Soft X-ray CT Images Using 3D Convolutional Neural Networks

Axel Ekman; Jian-Hua Chen; Gerry Mc Dermott; Mark A. Le Gros; Carolyn Larabell

doi:10.1017/S1431927620023983

Task Based Semantic Segmentation of Soft X-ray CT Images Using 3D Convolutional Neural Networks

Published online by Cambridge University Press: 30 July 2020

Axel Ekman ,

Mark A. Le Gros and

Axel Ekman: Affiliation:
Lawrence Berkeley National Laboratory and UCSF, Berkeley, California, United States
Jian-Hua Chen: Affiliation:
Lawrence Berkeley National Laboratory and UCSF, Berkeley, California, United States
Gerry Mc Dermott: Affiliation:
Lawrence Berkeley National Laboratory and UCSF, Berkeley, California, United States
Mark A. Le Gros: Affiliation:
Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States
Carolyn Larabell: Affiliation:
Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States

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Type: Biological Soft X-Ray Tomography
Information: Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 3152 - 3154

DOI: https://doi.org/10.1017/S1431927620023983 [Opens in a new window]

References

Le, Cun et al. Handwritten digit recognition: Applications of neural network chips and automatic learning. IEEE Communications Magazine, 27(11):41–46, 1989.Google Scholar

Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron. Deep Learning. MIT Press, 2016. http://www.deeplearningbook.org.Google Scholar

Çiçek, Özgün, et al. . C¸ ic¸ek. 3d u-net: Learning dense volumetric segmentation fromsparse annotation. InMedical Image Computing and Computer-Assisted Intervention – MICCAI 2016, pages 424–432, Cham, 2016. Springer International Publishing.Google Scholar

Isensee, Fabian, et al. nnu-net: Self-adapting framework for u-net-based medical image segmentation, 2018.10.1007/978-3-658-25326-4_7CrossRef Google Scholar

Article contents

Task Based Semantic Segmentation of Soft X-ray CT Images Using 3D Convolutional Neural Networks

Abstract

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