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Title: Machine learning-based multidomain processing for texture-based image segmentation and analysis

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Center for Nanophase Materials Science, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  2. Asylum Research, An Oxford Instruments Company, Santa Barbara, California 93117, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1595520
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Applied Physics Letters
Additional Journal Information:
Journal Name: Applied Physics Letters Journal Volume: 116 Journal Issue: 4; Journal ID: ISSN 0003-6951
Publisher:
American Institute of Physics
Country of Publication:
United States
Language:
English

Citation Formats

Borodinov, Nikolay, Tsai, Wan-Yu, Korolkov, Vladimir V., Balke, Nina, Kalinin, Sergei V., and Ovchinnikova, Olga S. Machine learning-based multidomain processing for texture-based image segmentation and analysis. United States: N. p., 2020. Web. doi:10.1063/1.5135328.
Borodinov, Nikolay, Tsai, Wan-Yu, Korolkov, Vladimir V., Balke, Nina, Kalinin, Sergei V., & Ovchinnikova, Olga S. Machine learning-based multidomain processing for texture-based image segmentation and analysis. United States. doi:10.1063/1.5135328.
Borodinov, Nikolay, Tsai, Wan-Yu, Korolkov, Vladimir V., Balke, Nina, Kalinin, Sergei V., and Ovchinnikova, Olga S. Mon . "Machine learning-based multidomain processing for texture-based image segmentation and analysis". United States. doi:10.1063/1.5135328.
@article{osti_1595520,
title = {Machine learning-based multidomain processing for texture-based image segmentation and analysis},
author = {Borodinov, Nikolay and Tsai, Wan-Yu and Korolkov, Vladimir V. and Balke, Nina and Kalinin, Sergei V. and Ovchinnikova, Olga S.},
abstractNote = {},
doi = {10.1063/1.5135328},
journal = {Applied Physics Letters},
number = 4,
volume = 116,
place = {United States},
year = {2020},
month = {1}
}

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