Generative Adversarial Network Applied to the Elimination of Noise and Artifacts in Optoacoustic Tomography Sinograms
The goal of this work is to study a preprocessing method for the data measured by a two-dimensional optoacoustic tomograph in order to reduce or eliminate artifacts introduced by the low number of detectors in the experimental setup and their limited bandwidth. A generative adversarial deep neural n...
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| Huvudupphov: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Universidad de Buenos Aires
2023-06-01
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| Serie: | Revista Elektrón |
| Ämnen: | |
| Länkar: | http://elektron.fi.uba.ar/index.php/elektron/article/view/180 |
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