A study on a high efficiency phase organization segmentation model for SEM images based on deep learning
- DOI
- 10.1039/d5nr05103g
- Published
- 2026
- Container
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d5nr05103g,
title = {A study on a high efficiency phase organization segmentation model for SEM images based on deep learning},
author = {Chao Wang and Changhao Wang and Zhipeng Chang and Xiaopeng Cheng and Xingping Liu and Bing Wang and FeiHong Chu and Ruzhi Wang},
year = {2026},
journal = {Nanoscale},
doi = {10.1039/d5nr05103g},
url = {https://doi.org/10.1039/d5nr05103g}
}RIS
TY - JOUR TI - A study on a high efficiency phase organization segmentation model for SEM images based on deep learning AU - Chao Wang AU - Changhao Wang AU - Zhipeng Chang AU - Xiaopeng Cheng AU - Xingping Liu AU - Bing Wang AU - FeiHong Chu AU - Ruzhi Wang PY - 2026 JO - Nanoscale DO - 10.1039/d5nr05103g UR - https://doi.org/10.1039/d5nr05103g ER -
APA
Wang, C., Wang, C., Chang, Z., Cheng, X., Liu, X., Wang, B., Chu, F., & Wang, R. (2026). A study on a high efficiency phase organization segmentation model for SEM images based on deep learning. Nanoscale. https://doi.org/10.1039/d5nr05103g
Source records
- crossref · retrieved 2026-09-25T03:08:06.376Z