Application of deep learning to crack segmentation in neutron CT images of ancient shu dao (书刀)

已完结 10 由 xhuis 发布于 2026/6/2 11:26:26

DOI:10.1016/j.daach.2026.e00532
作者：Jiancong Li ,?Shengxiang Wang ,?Xin Shu ,?Le Dong ,?Ziyao Wang ,?Yong Lei ,?Jie Chen
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Neutron CT imaging offers unique advantages in metal defect detection and cultural relic analysis, particularly for exploring internal structures of ancient artifacts like writing knives, du

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:其它数据库Urinary Profile of Endogenous Gamma-Hydroxybutyric Acid and its Biomarker Metabolites in Healthy Korean Females: Determination of Age-Dependent and Intra-Individual Variability and Identification of Metabolites Correlated With Gamma-Hydroxybutyric Acid