| Download | - View accepted manuscript: Framework for generative artificial intelligence enhanced microscopy image analysis automation of metallic materials: a case study (PDF, 385 KiB)
- View supplementary information: Framework for generative artificial intelligence enhanced microscopy image analysis automation of metallic materials: a case study (PDF, 1.0 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1093/mam/ozae044.170 |
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| Author | Search for: Dergaoui, Ayoub1; Search for: Tu, Siyu1ORCID identifier: https://orcid.org/0000-0001-6016-4646; Search for: Vo, Phuong1 |
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| Affiliation | - National Research Council of Canada. Automotive and Surface Transportation
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| Format | Text, Article |
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| Conference | M&M 2024, Microscopy & Microanalysis, July 28 - August 1, 2024, Cleveland, Ohio, United States |
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| Publication date | 2024-07-24 |
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| Publisher | Oxford University Press |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 72e3f33e-16f4-4876-b4cf-c15052d9deb8 |
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| Record created | 2025-01-31 |
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| Record modified | 2025-02-10 |
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