Prediction of muscular-invasive bladder cancer using multi-view fusion self-distillation model based on 3D T2-Weighted images
Our proposed MVSD model performs satisfactorily distinguishing between MIBC and NMIBC, indicating significant potential in facilitating preoperative BCa diagnosis for urologists.
Authors
- Peikun Liu (ORCID: https://orcid.org/0000-0002-4111-8801)
- Qiang Lü (ORCID: https://orcid.org/0000-0003-3589-2507)
- Yueyue Xiao (ORCID: https://orcid.org/0009-0006-9606-2282)
- Chunxiao Chen (ORCID: https://orcid.org/0000-0002-9440-9426)
- Xue Fu (ORCID: https://orcid.org/0000-0001-9518-4081)
- Ruoyu Meng
- Lingkai Cai (ORCID: https://orcid.org/0000-0002-1056-9116)
- Jie Yu (ORCID: https://orcid.org/0000-0002-6768-7236)
- Yuan Zou (ORCID: https://orcid.org/0000-0003-4641-6952)
- Xiao Yang (ORCID: https://orcid.org/0009-0001-0138-155X)
Institutions
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Biomedizinische Technik/Biomedical Engineering
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1515/bmt-2024-0333
- Citations
- 3
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- National Natural Science Foundation of China