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Predicting Ki-67 expression levels in non-small cell lung cancer using an explainable CT-based deep learning radiomics model.

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Title: Predicting Ki-67 expression levels in non-small cell lung cancer using an explainable CT-based deep learning radiomics model.
Authors: Qin S; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Jia Q; Chongqing General Hospital, Chongqing University, Chongqing, China., Zhang C; Department of Pathology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Li M; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China., Zhang X; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Zhou X; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Su D; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Liu Y; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China., Zhou J; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.
Source: Frontiers in oncology [Front Oncol] 2025 Dec 10; Vol. 15, pp. 1655714. Date of Electronic Publication: 2025 Dec 10 (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: Predicting Ki-67 expression levels in non-small cell lung cancer using an explainable CT-based deep learning radiomics model.
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  Data: <searchLink fieldCode="AU" term="%22Qin+S%22">Qin S</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Jia+Q%22">Jia Q</searchLink>; Chongqing General Hospital, Chongqing University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; Department of Pathology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Su+D%22">Su D</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Zhou+J%22">Zhou J</searchLink>; Department of Radiology, Jiangjin Central Hospital of Chongqing, Chongqing, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2025 Dec 10; Vol. 15, pp. 1655714. <i>Date of Electronic Publication: </i>2025 Dec 10 (<i>Print Publication: </i>2025).
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        Value: 10.3389/fonc.2025.1655714
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              Text: 2025 Dec 10
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