medical-20
Radiologist Binary Classification
3260 papers • 126 benchmarks • 313 datasets
This task measures a radiologist's performance on distinguishing between generated (e.g. with a GAN, VAE, etc.) and real images, ascribing to the high visual quality of the synthesized images, and to their potential use in advancing and facilitating downstream medical tasks.
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