Multi-channel multiphase CT-based deep learning and radiomics fusion model for noninvasive pathological grading of clear cell renal cell carcinoma
Multi-channel, multiphase CT fusion, when integrated with radiomics and clinical features, can significantly enhance predictive accuracy for ccRCC grading, providing a promising and interpretable noninvasive tool to support individualized treatment planning.
Authors
- Chen Qw
- Ze Zhang (ORCID: https://orcid.org/0000-0002-5336-8875)
- Wei Zhang (ORCID: https://orcid.org/0000-0001-7800-3189)
- Shiqi He (ORCID: https://orcid.org/0009-0007-6101-1888)
- Meng Gao (ORCID: https://orcid.org/0009-0006-8797-8993)
- C. Sun
- Xigang Xiao
Institutions
- Harbin Medical University (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fonc.2025.1710329
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Harbin Medical University