Deep learning-enabled semantic segmentation for high-accuracy fluid inclusions quantification in high-purity quartz Article Swipe

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Ting Fan , Zijie Ren , Qiankun Zhang , Zhi Liu , Hao Liu , Guocheng Lv ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.mineng.2025.109569

Related Topics

Quartz

Segmentation Fault

Deep Learning

Artificial Intelligence

Concepts

Quartz Segmentation Fluid inclusions Deep learning Artificial intelligence Computer science Geology Mineralogy Materials science Metallurgy

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.mineng.2025.109569
OA Status: hybrid
Cited By: 2
References: 33
Related Works: 10
OpenAlex ID: https://openalex.org/W4411728899

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OpenAlex ID: https://openalex.org/W4411728899

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DOI: https://doi.org/10.1016/j.mineng.2025.109569

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Title: Deep learning-enabled semantic segmentation for high-accuracy fluid inclusions quantification in high-purity quartz

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-06-27

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Authors: Ting Fan, Zijie Ren, Qiankun Zhang, Zhi Liu, Hao Liu, Guocheng Lv

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Landing page: https://doi.org/10.1016/j.mineng.2025.109569

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Open access: Yes

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OA status: hybrid

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OA URL: https://doi.org/10.1016/j.mineng.2025.109569

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Concepts: Quartz, Segmentation, Fluid inclusions, Deep learning, Artificial intelligence, Computer science, Geology, Mineralogy, Materials science, Metallurgy

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Cited by: 2

Total citation count in OpenAlex
Citations by year (recent): 2025: 2

Per-year citation counts (last 5 years)
References (count): 33

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Related works (count): 10

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