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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

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