Synthetic COVID-19 CXR Dataset
Introduced by Zunair et al. in Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
A public open dataset of synthetic chest X-ray images of COVID-19.
The dataset consists of 21,295 synthetic COVID-19 chest X-ray images. Images are generated using an unsupervised domain adaptation approach by leveraging class conditioning and adversarial training from source datasets RSNA Kaggle Dataset and COVID-19 Image Data Collection.
Implementation of the algorithm is available here.
Papers
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