A Dual-Domain Model Merging based Hybrid-Supervised Learning Framework for Computer-Aided Diagnosis
- DOI
- 10.1109/jbhi.2026.3737123
- Published
- 2026
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3737123,
title = {A Dual-Domain Model Merging based Hybrid-Supervised Learning Framework for Computer-Aided Diagnosis},
author = {Xulin Wu and Jun Du and Jing Shi and Wenhua Zhang and Qian Wang and Jun Shi},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2026.3737123},
url = {https://doi.org/10.1109/jbhi.2026.3737123}
}RIS
TY - JOUR TI - A Dual-Domain Model Merging based Hybrid-Supervised Learning Framework for Computer-Aided Diagnosis AU - Xulin Wu AU - Jun Du AU - Jing Shi AU - Wenhua Zhang AU - Qian Wang AU - Jun Shi PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2026.3737123 UR - https://doi.org/10.1109/jbhi.2026.3737123 ER -
APA
Wu, X., Du, J., Shi, J., Zhang, W., Wang, Q., & Shi, J. (2026). A Dual-Domain Model Merging based Hybrid-Supervised Learning Framework for Computer-Aided Diagnosis. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2026.3737123
Source records
- crossref · retrieved 2026-09-25T15:04:47.917Z