Identification of lesion bioactivity in hepatic cystic echinococcosis using a transformer-based fusion model
The Transformer multimodal fusion model integrates clinical features, radiomics features, and both 2D and 3D deep learning features, facilitating accurate differentiation of the biological activity of HCE lesions and exhibiting significant potential for clinical application.
Authors
- Zhu Wang (ORCID: https://orcid.org/0000-0002-7821-8574)
- Ying Zhou (ORCID: https://orcid.org/0000-0001-7078-6721)
- Hanxi Zhang (ORCID: https://orcid.org/0000-0002-2193-9581)
- Zengfu Xue (ORCID: https://orcid.org/0000-0002-0504-8789)
- Junjie Cai (ORCID: https://orcid.org/0000-0001-7990-590X)
- Zhan Wang (ORCID: https://orcid.org/0000-0002-1335-4698)
- Tao Yan (ORCID: https://orcid.org/0000-0002-2464-2361)
- Haining Fan (ORCID: https://orcid.org/0000-0001-9710-4946)
- Fuyuan Li (ORCID: https://orcid.org/0000-0002-2981-234X)
- K. Dua
Institutions
- Qinghai University (CN)
- Qinghai University Affiliated Hospital (CN)
Publication Details
- Journal
- Journal of Infection
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1016/j.jinf.2025.106455
- Citations
- 4
- Primary Topic
- Parasitic infections in humans and animals
- Type
- article
- Field-Weighted Citation Impact
- 5.89
Funders
- National Natural Science Foundation of China