Application of a Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography

Image reconstruction of Magnetic induction tomography (MIT) is an ill-posed problem. The non-linear characteristics lead many difficulties to its solution. In this paper, a method based on a Generative Adversarial Network (GAN) is presented to tackle these barriers. Firstly, the principle of MIT is...

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Detalles Bibliográficos
Autores principales: Yang, Dan, Liu, Jiahua, Wang, Yuchen, Xu, Bin, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199933/
https://www.ncbi.nlm.nih.gov/pubmed/34205157
http://dx.doi.org/10.3390/s21113869

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199933/
https://www.ncbi.nlm.nih.gov/pubmed/34205157
http://dx.doi.org/10.3390/s21113869

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