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

VernacularTitle: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
Author: Guoxu FANG ¹ ; Wenting XIE ; Kaizhi CHEN ; Siqi CHEN ; Minyong CHEN ; Xiangwen LIAO ; Lina TANG ; Jingfeng LIU
Author Information

1. 福建医科大学孟超肝胆医院东南肝胆健康大数据研究所，福州　350025
Keywords: Liver diseases; Computer vision technology; Artificial intelligence; Ultra-sound; Imaging examination
From:Chinese Journal of Digestive Surgery 2023;22(4):462-467
CountryChina
Language:Chinese
Abstract: 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 trans-catheter arterial chemoembolization.