Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning-Reference-Cited by-同舟云学术

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Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning

Published:2020-02 Issue: Volume:160 Page:110119
ISSN:1044-5803
Container-title:Materials Characterization
language:en
Short-container-title:Materials Characterization

Author:

Stan Tiberiu,Thompson Zachary T.,Voorhees Peter W.

Funder

Center for Hierarchical Materials Design

National Aeronautics and Space Administration

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference37 articles.

1. Growth and Coarsening;Ratke,2002

2. Solidification;Dantzig,2016

3. Fundamentals of Solidification;Kurz,1992

4. Materials Characterization: Introduction to Microscopic and Spectroscopic Methods;Leng,2013

5. Microstructural Characterization of Materials;Brandon,2008

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