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Unsupervised microstructure segmentation by mimicking metallurgists’ approach to pattern recognition
An efficient deep learning method is presented for distinguishing microstructures of a low carbon steel. There have been numerous endeavors to reproduce the human capability of perceptually classifying different textures using machine learning methods, but this is still very challenging owing to the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575545/ https://www.ncbi.nlm.nih.gov/pubmed/33082434 http://dx.doi.org/10.1038/s41598-020-74935-8 |