肝癌的医学影像智能化诊断研究进展

Research advances in the intelligent medical imaging diagnosis of liver cancer

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.