ArticleDiagnostics (Basel, Switzerland)2025
Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma.
Minghui Liu, Yi Wei, Tianshu Xie, Meiyi Yang, Xuan Cheng, Lifeng Xu, Qian Li, Feng Che, Qing Xu, Bin Song and 1 more
Abstract read
In one paragraphArticle in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 · The registryThe trial behind it
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5 · Who and what moneyAuthors and funding
11 authors.
Minghui LiuSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-3171-0270 Yi WeiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Tianshu XieSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-7021-8855 Meiyi YangSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Xuan ChengSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-4234-6179 Lifeng XuDepartment of Medical Laboratory Science, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou 324000, China.
Qian LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Feng CheDepartment of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Qing XuInstitute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu 610041, China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.
Ming LiuYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.
Funding
Guiding project of Quzhou Science and Technology Bureau 2022K50Guiding project of Quzhou Science and Technology Bureau 2023K013Guiding project of Quzhou Science and Technology Bureau 2023K016the Municipal Government of Quzhou 2023D007the Municipal Government of Quzhou 2023D014the Municipal Government of Quzhou 2023D033the Municipal Government of Quzhou 2023D034the Municipal Government of Quzhou 2023D035the Municipal Government of Quzhou 2024D058the National Key Research and Development Program 2022YFB3104600
6 · The paper itselfAbstract
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Indexed as
CT imagesdeep learninghepatocellular carcinomanon-invasive predictionreinforcement learningSOX9
Identifiers
PMID40428248
PMCPMC12110404
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