An end-to-end computer vision methodology for quantitative metallography

Metallography is crucial for a proper assessment of material properties. It mainly involves investigating the spatial distribution of grains and the occurrence and characteristics of inclusions or precipitates. This work presents a holistic few-shot artificial intelligence model for Quantitative Met...

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Detalles Bibliográficos
Autores principales: Rusanovsky, Matan, Beeri, Ofer, Oren, Gal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938431/
https://www.ncbi.nlm.nih.gov/pubmed/35314725
http://dx.doi.org/10.1038/s41598-022-08651-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938431/
https://www.ncbi.nlm.nih.gov/pubmed/35314725
http://dx.doi.org/10.1038/s41598-022-08651-w

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