MUSE-Net: a SegFormer-B2-based multi-expert ensemble for multicenter carotid plaque segmentation in ultrasound images
- DOI
- 10.1007/s11517-026-03695-w
- Published
- 2026-10-29
- Container
- Medical & Biological Engineering & Computing
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11517-026-03695-w,
title = {MUSE-Net: a SegFormer-B2-based multi-expert ensemble for multicenter carotid plaque segmentation in ultrasound images},
author = {Ming Hao and Jun Huang and Jiajia Song and Mingming Chen and Chang Liu and Xiangting Song and Kailin Gong and Li Fan and Hongwei Ge and Yu Li and Chunjun Qian},
year = {2026},
journal = {Medical \& Biological Engineering \& Computing},
doi = {10.1007/s11517-026-03695-w},
url = {https://doi.org/10.1007/s11517-026-03695-w}
}RIS
TY - JOUR TI - MUSE-Net: a SegFormer-B2-based multi-expert ensemble for multicenter carotid plaque segmentation in ultrasound images AU - Ming Hao AU - Jun Huang AU - Jiajia Song AU - Mingming Chen AU - Chang Liu AU - Xiangting Song AU - Kailin Gong AU - Li Fan AU - Hongwei Ge AU - Yu Li AU - Chunjun Qian PY - 2026 JO - Medical & Biological Engineering & Computing DO - 10.1007/s11517-026-03695-w UR - https://doi.org/10.1007/s11517-026-03695-w ER -
APA
Hao, M., Huang, J., Song, J., Chen, M., Liu, C., Song, X., Gong, K., Fan, L., Ge, H., Li, Y., & Qian, C. (2026). MUSE-Net: a SegFormer-B2-based multi-expert ensemble for multicenter carotid plaque segmentation in ultrasound images. Medical & Biological Engineering & Computing. https://doi.org/10.1007/s11517-026-03695-w
Source records
- crossref · retrieved 2026-11-11T02:06:28.561Z