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. |
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| 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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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1655714 |
