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Synthetic Data Curation Strategies for Robust Model Development: A Case Study with HRTEM Micrograph Segmentation

Published online by Cambridge University Press:  22 July 2022

Luis Rangel DaCosta ,
Katherine Sytwu ,
Catherine Groschner  and
Mary Scott
Luis Rangel DaCosta*
Affiliation:
University of California, Berkeley, Department of Materials Science, Berkeley, CA National Center for Electron Microscopy, Lawrence Berkeley National Laboratory, Berkeley, CA
Katherine Sytwu
Affiliation:
National Center for Electron Microscopy, Lawrence Berkeley National Laboratory, Berkeley, CA
Catherine Groschner
Affiliation:
University of California, Berkeley, Department of Materials Science, Berkeley, CA National Center for Electron Microscopy, Lawrence Berkeley National Laboratory, Berkeley, CA
Mary Scott
Affiliation:
University of California, Berkeley, Department of Materials Science, Berkeley, CA National Center for Electron Microscopy, Lawrence Berkeley National Laboratory, Berkeley, CA
*
*luisrd@berkeley.edu

Abstract

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Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 3098 - 3100
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Copyright
Copyright © Microscopy Society of America 2022

References

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