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In this work, we propose a new gan architecture for augmentation of. These datasets often suffer from severe.

Johnnydepp Jan 27, 2026

This research addresses the imbalance in medical imaging datasets, specifically in chest radiography, by leveraging generative adversarial networks (gans) for data augmentation. We compare performance to traditional. We compare performance to traditional.

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This study introduces a progressive.

Nevertheless, data augmentation techniques for training gans are underexplored compared to cnns.

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