An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases
- DOI
- 10.1016/j.eswa.2022.118016
- Published
- 2022-11
- Container
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.eswa.2022.118016,
title = {An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases},
author = {Daqiang Dong and Guanghui Fu and Jianqiang Li and Yan Pei and Yueda Chen},
year = {2022},
journal = {Expert Systems with Applications},
doi = {10.1016/j.eswa.2022.118016},
url = {https://doi.org/10.1016/j.eswa.2022.118016}
}RIS
TY - JOUR TI - An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases AU - Daqiang Dong AU - Guanghui Fu AU - Jianqiang Li AU - Yan Pei AU - Yueda Chen PY - 2022 JO - Expert Systems with Applications DO - 10.1016/j.eswa.2022.118016 UR - https://doi.org/10.1016/j.eswa.2022.118016 ER -
APA
Dong, D., Fu, G., Li, J., Pei, Y., & Chen, Y. (2022). An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2022.118016
Source records
- crossref · retrieved 2026-09-27T03:17:44.660Z