MedIENet: medical image enhancement network based on conditional latent diffusion model
These findings indicate that the images generated by MedIENet can enhance the performance of downstream classification tasks, providing an effective solution to the scarcity of medical image training data.
Authors
- Qinghua Sun (ORCID: https://orcid.org/0000-0002-8913-4608)
- Guangchun Luo (ORCID: https://orcid.org/0000-0001-7330-2139)
- Yue Feng (ORCID: https://orcid.org/0009-0007-3946-0185)
- Tiancai Wen (ORCID: https://orcid.org/0000-0002-7102-2210)
- J. Liang (ORCID: https://orcid.org/0000-0002-2401-6635)
- W. L. Yuan
- Shufen Liang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Wuyi University (CN)
- Wuyi University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12880-025-01909-5
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- Wuyi University