Multi-channel multiphase CT-based deep learning and radiomics fusion model for noninvasive pathological grading of clear cell renal cell carcinoma.
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| Title: | Multi-channel multiphase CT-based deep learning and radiomics fusion model for noninvasive pathological grading of clear cell renal cell carcinoma. |
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| Authors: | Sun C; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China., Chen Q; Ultrasound Department of First Affiliated Hospital of Harbin Medical University, Harbin, China., Gao M; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China., He S; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China., Zhang Z; Urology Department Ward 1 of First Affiliated Hospital of Harbin Medical University, Harbin, China., Zhang W; Graduate Department of First Affiliated Hospital of Harbin Medical University, Harbin, China., Xiao X; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China. |
| Source: | Frontiers in oncology [Front Oncol] 2026 Jan 15; Vol. 15, pp. 1710329. Date of Electronic Publication: 2026 Jan 15 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1710329 |
