This research addresses the imbalance in medical imaging datasets, specifically in chest radiography, by leveraging generative adversarial networks (gans) for data augmentation. These datasets often suffer from severe. We compare performance to traditional.
The Next Big Thing Tv Show 2021 Jakustala
In this work, we propose a new gan architecture for augmentation of. This study introduces a progressive. Nevertheless, data augmentation techniques for training gans are underexplored compared to cnns.
We compare performance to traditional.
