使UNet:

Bishal Ranjan Swain1, Dahee Cho2, Joongcheul Park2

  • 1Department of Computer & AI Convergence Engineering, Kumoh National Institute of Technology, Gumi-si 39177, Republic of Korea.

PubMed
概括

本研究引入了一种自动化方法,用于使用UNet架构量化高抗拉强度合金钢的相位分数. 该技术从电子反射衍射 (EBSD) 图像中准确地细分复杂的微观结构,克服了手工分析的局限性.

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