Three-dimensional automatic segmentation and morphometric analysis of scapula computed tomography images using Swin-U-Net transformers
- DOI
- 10.1515/bmt-2026-0280
- Published
- 2026-08-27
- Container
- Biomedical Engineering / Biomedizinische Technik
- Publisher
- Walter de Gruyter GmbH
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1515/bmt-2026-0280,
title = {Three-dimensional automatic segmentation and morphometric analysis of scapula computed tomography images using Swin-U-Net transformers},
author = {Qiong Fang and Meimei Liu and Jun Xu and Sen Zhao and Mei An},
year = {2026},
journal = {Biomedical Engineering / Biomedizinische Technik},
doi = {10.1515/bmt-2026-0280},
url = {https://doi.org/10.1515/bmt-2026-0280}
}RIS
TY - JOUR TI - Three-dimensional automatic segmentation and morphometric analysis of scapula computed tomography images using Swin-U-Net transformers AU - Qiong Fang AU - Meimei Liu AU - Jun Xu AU - Sen Zhao AU - Mei An PY - 2026 JO - Biomedical Engineering / Biomedizinische Technik DO - 10.1515/bmt-2026-0280 UR - https://doi.org/10.1515/bmt-2026-0280 ER -
APA
Fang, Q., Liu, M., Xu, J., Zhao, S., & An, M. (2026). Three-dimensional automatic segmentation and morphometric analysis of scapula computed tomography images using Swin-U-Net transformers. Biomedical Engineering / Biomedizinische Technik. https://doi.org/10.1515/bmt-2026-0280
Source records
- crossref · retrieved 2026-09-26T09:37:42.135Z