Deep learning algorithm for pathological grading of renal cell carcinoma based on multi-phase enhanced CT.
The proposed algorithm exhibits strong stability and sensitivity, significantly enhancing the predictive performance of RCC pathological grading. It offers a novel approach for accurate RCC diagnosis and personalized treatment planning.
Authors
- Kai Deng (ORCID: https://orcid.org/0000-0002-0096-5211)
- Dehong Peng
- Xilong Mei
- H. Y. Chen (ORCID: https://orcid.org/0009-0008-3058-3696)
- Enhua Xiao (ORCID: https://orcid.org/0000-0002-3281-6384)
- Jun Liu (ORCID: https://orcid.org/0009-0009-6410-3301)
Institutions
- Central South University (CN)
- Second Xiangya Hospital of Central South University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-04-28
- DOI
- https://doi.org/10.11817/j.issn.1672-7347.2025.250082
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00