Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool.
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| Title: | Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool. |
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| Authors: | Safdar, Mutahar1,2, mutahar.safdar@mail.mcgill.ca, Li, Yi Fan1, yi.fan.li@mail.mcgill.ca, El Haddad, Randy1, randy.elhaddad@mail.mcgill.ca, Zimmermann, Max3, max.zimmermann@ilt.fraunhofer.de, Wood, Gentry4, gentry.wood@apollomachine.com, Lamouche, Guy2, guy.lamouche@cnrc-nrc.gc.ca, Wanjara, Priti2, priti.wanjara@cnrc-nrc.gc.ca, Zhao, Yaoyao Fiona1, yaoyao.zhao@mcgill.ca |
| Source: | Expert Systems with Applications; Oct2024, Vol. 251, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 09574174 |
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| DOI: | 10.1016/j.eswa.2024.123974 |
