A Dual-Domain Model Merging based Hybrid-Supervised Learning Framework for Computer-Aided Diagnosis

Xulin Wu, Jun Du, Jing Shi, Wenhua Zhang, Qian Wang, Jun Shi

Open source

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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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

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