Depth-wise super-resolution of a serial-sectioned low-carbon steel microstructure by a generative adversarial network trained on in-plane images
- DOI
- 10.21203/rs.3.rs-10904615/v1
- Published
- 2026-09-22
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- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10904615/v1,
title = {Depth-wise super-resolution of a serial-sectioned low-carbon steel microstructure by a generative adversarial network trained on in-plane images},
author = {Kim H and Inoue J.},
year = {2026},
doi = {10.21203/rs.3.rs-10904615/v1},
url = {https://doi.org/10.21203/rs.3.rs-10904615/v1}
}RIS
TY - JOUR TI - Depth-wise super-resolution of a serial-sectioned low-carbon steel microstructure by a generative adversarial network trained on in-plane images AU - Kim H AU - Inoue J. PY - 2026 DO - 10.21203/rs.3.rs-10904615/v1 UR - https://doi.org/10.21203/rs.3.rs-10904615/v1 ER -
APA
H, K., & J., I. (2026). Depth-wise super-resolution of a serial-sectioned low-carbon steel microstructure by a generative adversarial network trained on in-plane images. https://doi.org/10.21203/rs.3.rs-10904615/v1
Source records
- europe-pmc · retrieved 2026-09-26T04:03:46.091Z