Building a pelvic organ prolapse diagnostic model using vision transformer on multi‐sequence MRI
The proposed model achieved detection accuracy that is comparable to or even exceeds that of physicians, demonstrating the effectiveness of the vision transformer architecture and label masking training strategy for assisting in the grading of POP under static and maximum Valsalva conditions. This offers a promising option for computer-aided diagnosis and treatment planning of POP.
Authors
- Bo Zheng (ORCID: https://orcid.org/0000-0002-9654-1500)
- Qiongshan Li
- Cheng Qian (ORCID: https://orcid.org/0000-0001-8772-2871)
- Shaojun Zhu (ORCID: https://orcid.org/0000-0001-7051-6342)
- Xiaoxuan Zhu
- Maonian Wu
Institutions
- Huzhou Normal University (CN)
- Huzhou Women and Children's Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-10-12
- DOI
- https://doi.org/10.1002/mp.17441
- Citations
- 3
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.41
Funders
- National Natural Science Foundation of China