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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...
Tallennettuna:
| Julkaisussa: | Sensors (Basel) |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8199933/ https://ncbi.nlm.nih.gov/pubmed/34205157 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113869 |
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