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Title: GitHub - koalary/NiftyNet: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy · GitHub

Open Graph Title: GitHub - koalary/NiftyNet: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

X Title: GitHub - koalary/NiftyNet: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Description: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy - koalary/NiftyNet

Open Graph Description: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy - koalary/NiftyNet

X Description: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy - koalary/NiftyNet

Mail addresses
niftynet@googlegroups.com

Opengraph URL: https://github.com/koalary/NiftyNet

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TensorFlowhttps://www.tensorflow.org/
School of Biomedical Engineering and Imaging Sciences, King's College Londonhttps://www.kcl.ac.uk/lsm/research/divisions/imaging/index.aspx
Wellcome EPSRC Centre for Interventional and Surgical Sciences, UCLhttp://www.ucl.ac.uk/weiss
Centre for Medical Image Computing, UCLhttp://cmic.cs.ucl.ac.uk
https://github.com/koalary/NiftyNet#features
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pip install tensorflow-gpu==1.10https://pypi.org/project/tensorflow-gpu/
pip install tensorflow==1.10https://pypi.org/project/tensorflow/
pip install niftynethttps://pypi.org/project/NiftyNet/
the instructionshttp://niftynet.readthedocs.io/en/dev/installation.html
https://github.com/koalary/NiftyNet#documentation
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Stack Overflowhttps://stackoverflow.com/questions/tagged/niftynet
https://github.com/koalary/NiftyNet#citing-niftynet
Gibson and Li, et al. 2018https://doi.org/10.1016/j.cmpb.2018.01.025
NiftyNet: a deep-learning platform for medical imaginghttps://doi.org/10.1016/j.cmpb.2018.01.025
10.1016/j.cmpb.2018.01.025https://doi.org/10.1016/j.cmpb.2018.01.025
Li, et al. 2017https://doi.org/10.1007/978-3-319-59050-9_28
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.https://doi.org/10.1007/978-3-319-59050-9_28
10.1007/978-3-319-59050-9_28https://doi.org/10.1007/978-3-319-59050-9_28
https://github.com/koalary/NiftyNet#licensing-and-copyright
the Apache License, Version 2.0https://github.com/NifTK/NiftyNet/blob/dev/LICENSE
https://github.com/koalary/NiftyNet#acknowledgements
Wellcome Trusthttps://wellcome.ac.uk/
Engineering and Physical Sciences Research Council (EPSRC)https://www.epsrc.ac.uk/
National Institute for Health Research (NIHR)https://www.nihr.ac.uk/
Department of Health (DoH)https://www.gov.uk/government/organisations/department-of-health
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STFC Rutherford-Appleton Laboratoryhttp://www.stfc.ac.uk/about-us/where-we-work/rutherford-appleton-laboratory/
NVIDIAhttp://www.nvidia.com
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