Multimodal MRI radiomics-based stacking ensemble learning model with automatic segmentation for prognostic prediction of HIFU ablation of uterine fibroids: a multicenter study
The DL based automatic segmentation MRI radiomics stacking ensemble learning model demonstrated high accuracy in predicting the prognosis of HIFU ablation of uterine fibroids.
Authors
- Qiuyi Cai (ORCID: https://orcid.org/0000-0002-5958-5467)
- Dan Shen (ORCID: https://orcid.org/0000-0003-1834-5456)
- Fuqiang Zhou (ORCID: https://orcid.org/0000-0001-9341-9342)
- Xinyi Bu
- Chengwei Li (ORCID: https://orcid.org/0000-0002-5883-4812)
- Bing Wen (ORCID: https://orcid.org/0000-0001-9152-1511)
Institutions
- Third People's Hospital of Chengdu (CN)
- Yichang Central People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fphys.2024.1507986
- Citations
- 8
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.66