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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Detalles Bibliográficos
Autores principales: Huang, Yong, Zeng, Yan, Bin, Guangyu, Ding, Qiying, Wu, Shuicai, Tai, Dar-In, Tsui, Po-Hsiang, Zhou, Zhuhuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689172/
https://www.ncbi.nlm.nih.gov/pubmed/36428892
http://dx.doi.org/10.3390/diagnostics12112833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689172/
https://www.ncbi.nlm.nih.gov/pubmed/36428892
http://dx.doi.org/10.3390/diagnostics12112833

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