Qiao-Ying Li's research while affiliated with Fourth Military Medical University and other places

Publications (2)

Article
Full-text available
Background: Acoustic structure quantification (ASQ) has been applied to evaluate liver histologic changes by analyzing the speckle pattern seen on B-mode ultrasound. We aimed to assess the severity of portal hypertension (PHT) through hepatic ultrasonography. Methods: Sixty patients diagnosed with PHT and underwent surgical treatment with portos...
Article
Full-text available
Artificial neural networks (ANNs) are widely studied for evaluating diseases. This paper discusses the intelligence mode of an ANN in grading the diagnosis of liver fibrosis by duplex ultrasonogaphy. 239 patients who were confirmed as having liver fibrosis or cirrhosis by ultrasound guided liver biopsy were investigated in this study. We quantified...

Citations

... Another report showed an AI model for estimating the presence of liver cirrhosis, portal hypertension, and esophageal varices through training a support vector machine (SVM) with images of shear wave elastography (SWE) [46,47]. There is also a report of AI for discriminating the stage of liver fibrosis by applying Doppler US parameters as training data [48]. Wang et al. established a deep learning model using 1,990 images of SWE from 398 HBV-positive patients as training data; the performance for discriminating the fibrosis stage was superior to those by 2D-SWE, AST to platelet ratio index (APRI), and fibrosis-4 (FIB-4) index [49]. ...