Study of Generative Adversarial Networks for Generating Synthetic Data and its Application on Optoacoustic Tomography
This work proposes the use of a Generative Adversarial Network (GAN) to perform data augmentation with the goal of improving image reconstruction in Optoacustic Tomography (OAT) applications. We employ the FastGAN model, a compact net capable of generating high resolution images from small datasets....
Guardado en:
| Autores principales: | Scopa Lopina, Alejandro, González, Martín Germán, Vera, Matías |
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
| Publicado: |
FIUBA
2023
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| Materias: | |
| Acceso en línea: | https://elektron.fi.uba.ar/elektron/article/view/185 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=185_oai |
| Aporte de: |
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