Grain and grain boundary segmentation using machine learning with real and generated datasets

Research article (Computational Materials Science, 2023) · cited 17× · AI/ML
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Grain and grain boundary segmentation using machine learning with real and generated datasets

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Grain and grain boundary segmentation using machine learning with real and generated datasets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Grain and grain boundary segmentation using machine learning with real and generated datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/grain-and-grain-boundary-segmentation-using-machine-learning-with-real-and-generated-datasets
MLA “Grain and grain boundary segmentation using machine learning with real and generated datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/grain-and-grain-boundary-segmentation-using-machine-learning-with-real-and-generated-datasets.
BibTeX @misc{4ortxyz_grain-and-grain-boundary-segmentation-using-machine-learning-with-real-and-generated-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Grain and grain boundary segmentation using machine learning with real and generated datasets}}, year = {2026}, url = {https://4ort.xyz/entity/grain-and-grain-boundary-segmentation-using-machine-learning-with-real-and-generated-datasets}, note = {Accessed: 2026-05-24}}
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