Sandstone rock tomographic data, i12 beamline, DLS synchrotron
收藏NIAID Data Ecosystem2026-05-01 收录
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资源简介:
This data compliments a paper Conditional generative adversarial networks for stripe artefact removal in high-resolution X-ray tomography by D. Kazantsev, L. Beveridge, V. Shanmugasundar and O. Magdysyuk to be published in the Tomography of Materials and Structures journal in 2023 (to be updated). This data alongside the data from here was used to train the network to remove stripe artefacts. The code is written in Python and located at: https://github.com/dkazanc/NoStripesNet
创建时间:
2023-10-23




