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Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)

Publication ,  Journal Article
Wang, H; Dalton, L; Fan, M; Guo, R; McClure, J; Crandall, D; Chen, C
Published in: Geoenergy Science and Engineering
February 1, 2023

Corresponding author: Cheng Chenff Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors regret: In the published paper, the affiliation for the corresponding author missed the university name (Stevens Institute of Technology). The correct affiliation should be: f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors would like to apologise for any inconvenience caused.

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Published In

Geoenergy Science and Engineering

DOI

EISSN

2949-8910

Publication Date

February 1, 2023

Volume

221
 

Citation

APA
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ICMJE
MLA
NLM
Wang, H., Dalton, L., Fan, M., Guo, R., McClure, J., Crandall, D., & Chen, C. (2023). Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596). Geoenergy Science and Engineering, 221. https://doi.org/10.1016/j.petrol.2022.111306
Wang, H., L. Dalton, M. Fan, R. Guo, J. McClure, D. Crandall, and C. Chen. “Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596).” Geoenergy Science and Engineering 221 (February 1, 2023). https://doi.org/10.1016/j.petrol.2022.111306.

Published In

Geoenergy Science and Engineering

DOI

EISSN

2949-8910

Publication Date

February 1, 2023

Volume

221