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....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Buenos Aires
2023-12-01
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| Series: | Revista Elektrón |
| Subjects: | |
| Online Access: | http://elektron.fi.uba.ar/index.php/elektron/article/view/185 |