Prediction of the composition of urinary calculi using artificial intelligence
Faster R-CNN demonstrates a robust capability for quantitative prediction of the composition of urinary calculi, indicating substantial promise for clinical applications.
Authors
- Tianxiong Yang
- Wenzeng Yang
- Zhenyu Cui (ORCID: https://orcid.org/0000-0001-9857-2178)
- Dan Shen (ORCID: https://orcid.org/0000-0002-9558-0604)
- Hongmei Li (ORCID: https://orcid.org/0000-0002-0677-757X)
- Tao Ma
Institutions
- Affiliated Hospital of Hebei University (CN)
- Hebei University (CN)
Publication Details
- Journal
- Pakistan Journal of Medical Sciences
- Published
- 2025-07-01
- DOI
- https://doi.org/10.12669/pjms.41.7.11360
- Primary Topic
- Urinary Tract Infections Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00