Evaluation of Hepatic Fibrosis Using Ultrasound Backscattered Radiofrequency Signals and One-Dimensional Convolutional Neural Networks

Evaluation of Hepatic Fibrosis Using Ultrasound Backscattered Radiofrequency Signals and One-Dimensional Convolutional Neural Networks

The early detection of hepatic fibrosis is of critical importance. Ultrasound backscattered radiofrequency signals from the liver contain abundant information about its microstructure. We proposed a method for characterizing human hepatic fibrosis using one-dimensional convolutional neural networks...

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Bibliographic Details
Main Authors: Yong Huang, Yan Zeng, Guangyu Bin, Qiying Ding, Shuicai Wu, Dar-In Tai, Po-Hsiang Tsui, Zhuhuang Zhou
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
ultrasound backscattered signal
convolutional neural network
deep learning
hepatic fibrosis
ultrasound tissue characterization
Online Access:https://www.mdpi.com/2075-4418/12/11/2833

Internet

https://www.mdpi.com/2075-4418/12/11/2833

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