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. 2023 Jul 26;13:12098. doi: 10.1038/s41598-023-39278-0

Table 3.

Quantitative image generation comparisons.

Dataset Model FID ↓ KID ↓ Precision ↑ Recall ↑
AIROGS StyleGAN-3 20.43 0.019 0.43 0.19
Medfusion 11.63 0.008 0.70 0.40
CRCDX cGAN 49.26 0.036 0.64 0.02
StyleGAN-3 18.83 0.014 0.57 0.24
Medfusion 30.03 0.021 0.66 0.41
CheXpert ProGAN 84.31 0.127 0.30 0.17
StyleGAN-3 28.69 0.032 0.68 0.08
Medfusion 17.28 0.020 0.68 0.32

Models include Generative Adversarial Networks (StyleGAN-3, cGAN, and ProGAN) and our proposed Medfusion model. Metrics for the best-performing model are indicated in bold.

FID fréchet inception distance, KID kernel inception distance.