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View Code? Open in Web Editor NEW3D super-resolution using Generative Adversarial Networks
3D super-resolution using Generative Adversarial Networks
Hi
I am a beginner
I have my dataset and it has already been processed. So how can I use the my dataset like nii.
Referencing from: ... to 'T1_brain_extractedBrainExtractionMask.nii.gz' file.
This file was created taking the original images from ADNI and performing a skull-stripping processing of them. We use the nibabel library to load the images. https://github.com/imatge-upc/3D-GAN-superresolution
I ask if a process was considered as indicated: http://fsl.fmrib.ox.ac.uk/fslcourse/lectures/practicals/intro2/index.html, .... try -f 0.3 -g 0.2
Thank you for your answer.
Would you please specify the dataset link? I opened the ADNI link that you have given and in the "Data and Sample" section there is MRI image but it has no T1-weighted images.
Hello,
Thanks for creating this, I'm quite interested to see how it can adapt to my applications. I am hoping you may be able to help me by providing a list of version for packages/dependencies that you used for creating this code? I've gathered that it is not compatible with TensorFlow 2.X (apparently even with use of tf.compat.v1) , so am downgrading to tensorflow 1.15, but if you could provide a conda environment.yaml file or another text file with the version numbers for all of the dependencies you use, that would be super helpful. Right now in particular I am trying to figure out the version of TensorLayer that is compatible.
Thanks! Alex
Hello,
Is this project meant to be open-source? If so would you please add an open source license to this repository?
Thank you,
Alex
How do low-resolution images are simulated from high-resolution images? Is it using cubic interpolation?
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