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These datasets often suffer from severe. In this work, we propose a new gan architecture for augmentation of. Presented at the applied data science for healthcare workshop, kdd 2021.
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However, the most advanced semantic segmentation. We compare performance to traditional augmentation. Nevertheless, data augmentation techniques for training gans are underexplored compared to cnns.
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These datasets often suffer from severe. In this work, we propose a new gan architecture for augmentation of. Presented at the applied data science for healthca
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