most citedPhysical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

19 citations · 19 across the 2 of their papers we have counts for

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eess.IV2020★ 19 cited

Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Ying Da Wang, Mehdi Shabaninejad, Ryan T. Armstrong +1

Segmentation of 3D micro-Computed Tomographic uCT) images of rock samples is essential for further Digital Rock Physics (DRP) analysis, however, conventional methods such as thresh…