Evaluation of Denoising Performance of ResNet Deep Learning Model for Ultrasound Images Corresponding to Two Frequency Parameters

Ultrasound imaging is widely used for accurate diagnosis due to its noninvasive nature and the absence of radiation exposure, which is achieved by controlling the scan frequency. In addition, Gaussian and speckle noises degrade image quality. To address this issue, filtering techniques are typically...

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Bibliographic Details

Published in:	Bioengineering
Main Authors:	Hyekyoung Kang, Chanrok Park, Hyungjin Yang
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	ultrasound frequency deep learning residual network (ResNet) quantitative analysis
Online Access:	https://www.mdpi.com/2306-5354/11/7/723