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Integrating artificial intelligence into radiological cancer imaging:from diagnosis and treatment response to prognosis

Sunyi Zheng Xiaonan Cui Zhaoxiang Ye

癌症生物学与医学（英文版）2025，Vol.22Issue(1)：6-13,8.

癌症生物学与医学（英文版）2025，Vol.22Issue(1)：6-13,8.DOI:10.20892/j.issn.2095-3941.2024.0422

Integrating artificial intelligence into radiological cancer imaging:from diagnosis and treatment response to prognosis

Sunyi Zheng ¹Xiaonan Cui ¹Zhaoxiang Ye¹

作者信息

1. Tianjin Medical University Cancer Institute and Hospital,National Clinical Research Center for Cancer,Tianjin's Clinical Research Center for Cancer,State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine,Tianjin Key Laboratory of Digestive Cancer,Key Laboratory of Cancer Prevention and Therapy,Department of Radiology,Tianjin 300060,China
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Sunyi Zheng,Xiaonan Cui,Zhaoxiang Ye..Integrating artificial intelligence into radiological cancer imaging:from diagnosis and treatment response to prognosis[J].癌症生物学与医学（英文版）,2025,22(1):6-13,8.

基金项目

This study was funded by grants from the National Natural Science Foundation of China(Grant Nos.82171932 and 82302180),the Ministry of Science and Technology of China(Grant No.2024ZD0520002),the Chinese National Key Research and Development Project(Grant Nos.2021YFC2500402 and 2021YFC2500400),the National Health Commission Capacity Building and Continuing Education Center(Grant No.YXFSC2022JJSJ011),the Tianjin Key Medical Discipline(Specialty)Construction Project(Grant No.TJYXZDXK-010A),and the Scientific Developing Foundation of Tianjin Education Commission(Grant No.2024KJ182). （Grant Nos.82171932 and 82302180）

癌症生物学与医学（英文版）

ISSN：2095-3941

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