<scp>3D</scp> deep‐learning radiomics from <scp>MR</scp> ‐ <scp>T2WI</scp> for predicting placenta accreta spectrum disorders: A multicenter study
The standalone DL3D model significantly surpassed expert assessments, with the combined model delivering the most pronounced performance advantage over human interpretation.
Authors
- Chao Guo
- Xiaoqi Huang (ORCID: https://orcid.org/0000-0003-1365-759X)
- Xi Zhang (ORCID: https://orcid.org/0000-0002-4638-3997)
- Shunlin Guo (ORCID: https://orcid.org/0000-0003-1905-5055)
- Dong Seok Han
- Nan Yu
- Yiming Li
- Xinyang Zhu
Institutions
- Yan'an University (CN)
- Shangqiu First People's Hospital (CN)
- Affiliated Hospital of Shaanxi University of Chinese Medicine (CN)
- First Hospital of Lanzhou University (CN)
- Shaanxi University of Chinese Medicine (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- International Journal of Gynecology & Obstetrics
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1002/ijgo.70874
- Primary Topic
- Maternal and fetal healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00