Research data - Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data
收藏DataCite Commons2025-01-22 更新2025-04-16 收录
下载链接：
https://tore.tuhh.de/handle/11420/53280
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资源简介：
This dataset contains simulated and domain-adapted multi-voltage FIB tomography data on hierarchical nanoporous gold, trained machine learning model weights, and segmentation results of synthetic and real hierarchical nanoporous gold data. For more information, please refer to the published research article: Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data
提供机构：
TUHH Universitätsbibliothek
创建时间：
2025-01-22
