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Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys

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Published in:Integrating Materials and Manufacturing Innovation
Format: Online Article RSS Article
Published: 2026
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container_title Integrating Materials and Manufacturing Innovation
description
discipline_display Manufacturing and Technology
discipline_facet Manufacturing and Technology
format Online Article
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genre Journal Article
id rss_article:63431
institution FRELIP
journal_source_facet Integrating Materials and Manufacturing Innovation
last_indexed 2026-06-20T21:27:42.255Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
Manufacturing and Technology
General
Manufacturing and Technology
sub_discipline_display General
sub_discipline_facet General
subject_display Manufacturing and Technology
General
Manufacturing and Technology
subject_facet Manufacturing and Technology
General
Manufacturing and Technology
title Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_alt Implementación de segmentación basada en aprendizaje profundo para análisis cuantitativo de microestructura y reconstrucción 3D en aleaciones de aluminio
Mise en œuvre de la segmentation basée sur l'apprentissage profond pour l'analyse quantitative de la microstructure et la reconstruction 3D dans les alliages d'aluminium
Implementação de Segmentação Baseada em Aprendizado Profundo para Análise Quantitativa de Microestrutura e Reconstrução 3D em Ligas de Alumínio
title_auth Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_es_txt Implementación de segmentación basada en aprendizaje profundo para análisis cuantitativo de microestructura y reconstrucción 3D en aleaciones de aluminio
title_fr_txt Mise en œuvre de la segmentation basée sur l'apprentissage profond pour l'analyse quantitative de la microstructure et la reconstruction 3D dans les alliages d'aluminium
title_full Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_fullStr Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_full_unstemmed Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_pt_txt Implementação de Segmentação Baseada em Aprendizado Profundo para Análise Quantitativa de Microestrutura e Reconstrução 3D em Ligas de Alumínio
title_short Implementation of Deep Learning-Based Segmentation for Quantitative Microstructure Analysis and 3D Reconstruction in Aluminum Alloys
title_sort implementation of deep learning-based segmentation for quantitative microstructure analysis and 3d reconstruction in aluminum alloys
topic Manufacturing and Technology
General
Manufacturing and Technology
url https://link.springer.com/article/10.1007/s40192-026-00462-5