Ensemble of fine-tuned machine learning models for hysterectomy prediction in pregnant women using magnetic resonance images
Various machine learning models were developed to predict hysterectomy in pregnant women with PAS, which may have potential clinical applications to help improve patient management.
Authors
- N. Quyen (ORCID: https://orcid.org/0000-0001-9511-7866)
- Diane M. Twickler (ORCID: https://orcid.org/0000-0001-5192-9782)
- Matthew A. Lewis (ORCID: https://orcid.org/0000-0002-3714-9031)
- David M. Owen
- Michael Villordon
- Christina L. Herrera (ORCID: https://orcid.org/0000-0002-6484-9850)
- Yin Xi (ORCID: https://orcid.org/0000-0001-9743-3010)
- Baowei Fei (ORCID: https://orcid.org/0000-0002-9123-9484)
- Vishnu Vardhan Reddy Kanamata Reddy
- Catherine Y. Spong
Institutions
- Parkland Health & Hospital System (US)
- The University of Texas at Dallas (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1117/1.jmi.12.2.024502
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00