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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Yong Huang, Yan Zeng, Guangyu Bin, Qiying Ding, Shuicai Wu, Dar-In Tai, Po-Hsiang Tsui, Zhuhuang Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
coleção:	Diagnostics
Assuntos:	ultrasound backscattered signal convolutional neural network deep learning hepatic fibrosis ultrasound tissue characterization
Acesso em linha:	https://www.mdpi.com/2075-4418/12/11/2833
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!