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A deep learned nanowire segmentation model using synthetic data augmentation
Abstract Automated particle segmentation and feature analysis of experimental image data are indispensable for data-driven material science. Deep learning-based image segmentation algorithms are promising techniques to achieve this goal but are challenging to use due to the acquisition of a large nu...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-04-01
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| Colecção: | npj Computational Materials |
| Acesso em linha: | https://doi.org/10.1038/s41524-022-00767-x |
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