pix2xray: converting RGB images into X-rays using generative adversarial networks.PURPOSE
 This dataset is used to train two general-purpose CGAN networks, pix2pix and CycleGAN, as well as our novel architecture called pix2xray which expands upon the pix2pix architecture to include the hand pose into the network.


 Our results demonstrate that our pix2xray architecture outperforms both pix2pix and CycleGAN in producing higher-quality X-ray images. 
pix2xray
pix2xray: converting RGB images into X-rays using generative adversarial networks.PURPOSE
 To solve this problem, we propose a method of synthetic X-ray generation using conditional generative adversarial networks (CGANs).



generative adversarial networks
To solve this problem, we propose a method of synthetic X-ray generation using conditional generative adversarial networks (CGANs).



CGANs
This dataset is used to train two general-purpose CGAN networks, pix2pix and CycleGAN, as well as our novel architecture called pix2xray which expands upon the pix2pix architecture to include the hand pose into the network.


 Our results demonstrate that our pix2xray architecture outperforms both pix2pix and CycleGAN in producing higher-quality X-ray images.  We measure higher similarity metrics in our approach, with pix2pix coming in second, and CycleGAN producing the worst results. 
pix2pix
This dataset is used to train two general-purpose CGAN networks, pix2pix and CycleGAN, as well as our novel architecture called pix2xray which expands upon the pix2pix architecture to include the hand pose into the network.


 Our results demonstrate that our pix2xray architecture outperforms both pix2pix and CycleGAN in producing higher-quality X-ray images.  We measure higher similarity metrics in our approach, with pix2pix coming in second, and CycleGAN producing the worst results. 
CycleGAN