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作 者:徐捷 徐文斌 贺柯庆 上官定 徐婷[4] 谢明君[3] 龙年宝 葛来安[3] XU Jie;XU Wenbin;HE Keqing;SHANGGUAN Ding;XU Ting;XIE Mingjun;LONG Nianbao;GE Laian(Jiangxi University of Chinese Medicine,Nanchang 330004,China;School of Advanced Manufacturing,Nanchang University,Nanchang 330031,China;Department of Hepatobiliary Diseases,The Affiliated Hospital of Jiangxi University of Chinese Medicine,Nanchang 330200,China;Department of Oncology,The Affiliated Hospital of Jiangxi University of Chinese Medicine,Nanchang 330200,China)
机构地区:[1]江西中医药大学,南昌330004 [2]南昌大学先进制造学院,南昌330031 [3]江西中医药大学附属医院肝胆病科,南昌330200 [4]江西中医药大学附属医院肿瘤科,南昌330200
出 处:《临床肝胆病杂志》2024年第9期1880-1885,共6页Journal of Clinical Hepatology
基 金:江西省中医药管理局科技项目(2021B695)。
摘 要:肝癌是对人体威胁最大的疾病之一,大部分患者确诊时已属晚期,致死率极高。早期肝癌的诊断和治疗是改善患者预后的关键。医学影像是辅助诊断肝癌的重要手段,当前基于医学影像数据的智能图像识别技术已深入涉足医学诊断领域并具有良好应用前景。本文通过综述目前人工智能方法在肝脏医学影像中诊断局灶性肝脏病变的研究现状,提出当前人工智能诊断的优势与不足,旨在为今后肝癌的智能化诊断提供新的研究思路。Liver cancer is one of the most threatening diseases to the human body,and most patients are already in the advanced stage at the time of diagnosis,resulting in an extremely high mortality rate.The diagnosis and treatment of early-stage liver cancer is the key to improving the prognosis of patients.Medical imaging is an important method that assists in the diagnosis of liver cancer,and currently,intelligent image recognition technology based on medical imaging data has been widely applied in the field of medical diagnosis and has good application prospects.This article reviews the current status of research on artificial intelligence(AI)methods for the diagnosis of focal liver lesions based on liver medical images and proposes the advantages and shortcomings of current AI diagnosis,so as to provide new research ideas for the intelligent diagnosis of liver cancer in the future.
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