A reusable neural network pipeline for unidirectional fiber segmentation
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Title
A reusable neural network pipeline for unidirectional fiber segmentation
Authors
Keywords
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Journal
Scientific Data
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-02-02
DOI
10.1038/s41597-022-01119-6
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- (2018) T. Koyanagi et al. JOURNAL OF NUCLEAR MATERIALS
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- (2016) Daniela M. Ushizima et al. JOM
- The Materials Data Facility: Data Services to Advance Materials Science Research
- (2016) B. Blaiszik et al. JOM
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- (2016) Nitin P. Padture NATURE MATERIALS
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- (2014) Michael W. Czabaj et al. COMPOSITES SCIENCE AND TECHNOLOGY
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