Development of a High‐Performance Ultrasound Prediction Model for the Diagnosis of Endometrial Cancer
The XGBoost-based model exhibited excellent predictive performance, particularly in postmenopausal patients. SHAP analysis further enhances interpretability by identifying key ultrasonographic predictors of malignancy.
Authors
- Hongwei Lai (ORCID: https://orcid.org/0009-0005-5659-7349)
- Fengying Ye
- Zongjie Weng (ORCID: https://orcid.org/0000-0002-0992-9874)
- Wenmin Yang
- Qiumei Wu (ORCID: https://orcid.org/0000-0002-0936-4607)
- Guorong Lyu (ORCID: https://orcid.org/0000-0003-3123-1138)
Institutions
- Fujian Medical University (CN)
- Fujian Women and Children Hospital (CN)
- Maternity and Children's Hospital (SA)
- Fuzhou Maternity and Child Health Care Hospital (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Journal of Ultrasound in Medicine
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1002/jum.70082
- Citations
- 1
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.06