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Electrical Impedance tomography (EIT) is a non-invasive type of medical image used to infer electrical conductivity, dielectric constant, and impedance of parts of the body from surface electrode measurements and to form tomography.
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EIT has the advantages of non-permeable and high time resolution, but it has low spatial resolution and low sensitivity to electrode movement and contract quality.
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To overcome these disadvantages, we utillize GAN model to eliminate noise signals.
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Electrical Impedance tomography (EIT) signal denoising with pix2pix based generative model
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