04rr / medsrgan Goto Github PK View Code? Open in Web Editor NEW 20.0 20.0 5.0 365 KB PyTorch implementation of "MedSRGAN: medical images super-resolution using generative adversarial networks" Python 100.00% generative-adversarial-network medical-imaging pytorch pytorch-implementation super-resolution Introduction · People · Discuss
Hey, I'm Rohit Rajesh. I am a final year student at BITS PILANI. I'm currently working on projects based on Computer Vision and Application of Deep Learning in Biological Sciences. I’m looking to collaborate with other researchers and creators Connect with me:
Hey, I'm Rohit Rajesh. I am a final year student at BITS PILANI. I'm currently working on projects based on Computer Vision and Application of Deep Learning in Biological Sciences. I’m looking to collaborate with other researchers and creators Connect with me:
from medsrgan import Generator, Discriminator, FeatureExtractor ModuleNotFoundError: No module named 'medsrgan' Is it convenient for the author to provide complete code
LIPIS-based content loss is missing The paper claims to use a content loss based on a pre-trained VGG-19 model. However, only an L1-loss is used in the training code. How was the performance mentioned in the paper achieved? Is it with L1 loss?
It is mentioned in the trainer.py that there's a module named FeatureExtractor,can you please post it,it'll help a lot.
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