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Add the option to select between LPIPS based implementation of the perceptual loss (based on model pretrained on ImageNet) or the RadImageNet option (based on a network pretrained no the RadImageNet dataset) (https://github.com/BMEII-AI/RadImageNet).
For now, I created this repo to access the pytorch models from radimagenet, but I am talking with Zelong and @xmei123 to possibly have some official repo and weights to share the pytorch models.
Add the option to select between LPIPS based implementation of the perceptual loss (based on model pretrained on ImageNet) or the RadImageNet option (based on a network pretrained no the RadImageNet dataset) (https://github.com/BMEII-AI/RadImageNet).
The use of this network in a similar approach was already implemented for a FID metric in https://github.com/RichardObi/medigan which might be interesting to use too.
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