Development and validation of a machine learning-based pathomics nomogram for prognostic prediction in endometrial cancer
This study presents a validated pathomics-based model that accurately predicts prognosis in EC patients using routine H&E slides. It provides a scalable, low-cost tool for risk stratification and personalized management in clinical practice.
Authors
- Junyu Qiu (ORCID: https://orcid.org/0000-0003-3191-836X)
- Xian‐Hua Han (ORCID: https://orcid.org/0000-0002-5003-3180)
Institutions
- Ganzhou People's Hospital (CN)
- First Affiliated Hospital of Gannan Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.1007/s12672-025-04226-z
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00