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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...

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Détails bibliographiques
Publié dans:Sci Rep
Auteurs principaux: Kim, Hoheok, Inoue, Junya, Kasuya, Tadashi
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7575545/
https://ncbi.nlm.nih.gov/pubmed/33082434
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-74935-8
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