LI-SEMIS: High-precision instance segmentation for SEM images of lithium-ion batteries ternary materials
- DOI
- 10.1016/j.micron.2026.104135
- Published
- 2027-02
- Container
- Micron
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.micron.2026.104135,
title = {LI-SEMIS: High-precision instance segmentation for SEM images of lithium-ion batteries ternary materials},
author = {Yu Qi and Yingying Sun and Xiaoqiang Li and Jun Zhang and Tingting Ren and Dong Wang and Zhuanti Wu and Hao Zheng and Hongyue Wan},
year = {2027},
journal = {Micron},
doi = {10.1016/j.micron.2026.104135},
url = {https://doi.org/10.1016/j.micron.2026.104135}
}RIS
TY - JOUR TI - LI-SEMIS: High-precision instance segmentation for SEM images of lithium-ion batteries ternary materials AU - Yu Qi AU - Yingying Sun AU - Xiaoqiang Li AU - Jun Zhang AU - Tingting Ren AU - Dong Wang AU - Zhuanti Wu AU - Hao Zheng AU - Hongyue Wan PY - 2027 JO - Micron DO - 10.1016/j.micron.2026.104135 UR - https://doi.org/10.1016/j.micron.2026.104135 ER -
APA
Qi, Y., Sun, Y., Li, X., Zhang, J., Ren, T., Wang, D., Wu, Z., Zheng, H., & Wan, H. (2027). LI-SEMIS: High-precision instance segmentation for SEM images of lithium-ion batteries ternary materials. Micron. https://doi.org/10.1016/j.micron.2026.104135
Source records
- crossref · retrieved 2026-11-04T13:08:00.169Z