Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation
- DOI
- 10.1016/j.artmed.2026.103512
- Published
- 2026-11
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103512,
title = {Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation},
author = {Zhiqiang Shen and Qingshan Hou and Peng Cao and Jinzhu Yang and Huazhu Fu and Osmar R. Zaiane and Zhaolin Chen},
year = {2026},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103512},
url = {https://doi.org/10.1016/j.artmed.2026.103512}
}RIS
TY - JOUR TI - Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation AU - Zhiqiang Shen AU - Qingshan Hou AU - Peng Cao AU - Jinzhu Yang AU - Huazhu Fu AU - Osmar R. Zaiane AU - Zhaolin Chen PY - 2026 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103512 UR - https://doi.org/10.1016/j.artmed.2026.103512 ER -
APA
Shen, Z., Hou, Q., Cao, P., Yang, J., Fu, H., Zaiane, O. R., & Chen, Z. (2026). Segmentation-synthesis co-training for semi-supervised domain generalizable medical image segmentation. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103512
Source records
- crossref · retrieved 2026-09-26T16:46:57.509Z