计算机视觉技术辅助超声检查在肝脏疾病诊治中的应用前景

Application prospect of computer vision technology assisted ultrasonography in diagnosisand treatment of liver diseases

超声检查具有无辐射、无创、低成本、高效的优点,是最常用的肝脏影像学检查方法。计算机视觉技术应用于超声图像智能分析已成为智慧医疗领域的研究热点。通过大规模数据训练,构建基于机器学习算法的超声组学智能分析模型,可辅助临床诊断与治疗,提高诊断的效率和准确性。笔者结合文献,评述计算机视觉技术辅助超声检查在评估肝脏弥漫性病变、肝脏局灶性病变、肝癌微血管侵犯、肝癌术后复发及肝动脉化疗栓塞术后治疗反应等方面的应用前景。

Ultrasound examination has the advantages of non‐radiation,non‐invasive,low cost and high efficiency,and is the most commonly used method of liver imaging examination.In recent years,the application of computer vision technology to the intelligent analysis of ultrasound images has become a research hotspot in the field of intelligent healthcare.Through large‐scale data training,the intelligent analysis model of ultrasound omics based on machine learning algorithm can assist clinical diagnosis and therapy,and improve the efficiency and accuracy of diagnosis.Based on the literature,the authors summarize the application proprect of computer vision technology assisted ultrasonography in the evaluation of diffuse liver lesions,focal liver lesions,microvascular invasion of liver cancer,postoperative recurrence of liver cancer,and postoperative therapy response to transcatheter arterial chemoembolization.