ARU-DGAN: A dual generative adversarial network based on attention residual U-Net for magneto-acousto-electrical image denoising

ARU-DGAN: A dual generative adversarial network based on attention residual U-Net for magneto-acousto-electrical image denoising

Magneto-Acousto-Electrical Tomography (MAET) is a multi-physics coupling imaging modality that integrates the high resolution of ultrasound imaging with the high contrast of electrical impedance imaging. However, the quality of images obtained through this imaging technique can be easily compromised...

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Bibliographic Details
Main Authors: Shuaiyu Bu, Yuanyuan Li, Wenting Ren, Guoqiang Liu
Format: Article
Language:English
Published: AIMS Press 2023-10-01
Series:Mathematical Biosciences and Engineering
Subjects:
magneto-acousto-electrical tomography
image denoising
generative adversarial networks
attention mechanism
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023871?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023871?viewType=HTML

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