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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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Sun+C%22">Sun C</searchLink>; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; Ultrasound Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Gao+M%22">Gao M</searchLink>; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22He+S%22">He S</searchLink>; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Z%22">Zhang Z</searchLink>; Urology Department Ward 1 of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Zhang+W%22">Zhang W</searchLink>; Graduate Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.<br /><searchLink fieldCode="AU" term="%22Xiao+X%22">Xiao X</searchLink>; CT Department of First Affiliated Hospital of Harbin Medical University, Harbin, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2026 Jan 15; Vol. 15, pp. 1710329. <i>Date of Electronic Publication: </i>2026 Jan 15 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fonc.2025.1710329
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      – TitleFull: 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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              Text: 2026 Jan 15
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