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Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization

In this paper, we present the kernel density estimation (KDE)-based parallelized ultrasound entropy imaging and apply it for hepatic steatosis characterization. A KDE technique was used to estimate the probability density function (PDF) of ultrasound backscattered signals. The estimated PDF was util...

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Principais autores: Ruiyang Gao, Po-Hsiang Tsui, Shuicai Wu, Dar-In Tai, Guangyu Bin, Zhuhuang Zhou
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-12-01
Serier:Diagnostics
Fag:
quantitative ultrasound
backscatter envelope statistics
ultrasound entropy imaging
kernel density estimation
probability density function
ultrasound tissue characterization
Online adgang:https://www.mdpi.com/2075-4418/13/24/3646
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