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Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral
  Segmentation of Rock micro-CT Images
v1v2 (latest)

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

13 February 2020
Ying Da Wang
Mehdi Shabaninejad
R. Armstrong
P. Mostaghimi
    3DV
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment
  Anything Model
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma
Xupeng He
Shuyu Sun
Bicheng Yan
Hyung Kwak
Jun Gao
98
10
0
17 Nov 2023
Deep-Learning Driven Noise Reduction for Reduced Flux Computed
  Tomography
Deep-Learning Driven Noise Reduction for Reduced Flux Computed TomographyItalian National Conference on Sensors (INS), 2021
K. Alsamadony
E. U. Yildirim
G. Glatz
U. Waheed
S. Hanafy
MedIm
94
14
0
18 Jan 2021
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
Ying Da Wang
Traiwit Chung
R. Armstrong
P. Mostaghimi
AI4CE
109
19
0
22 Apr 2020
1