We are excited to announce that NiftyNet, the first open-source deep-learning software library dedicated to medical imaging, has been released and is available for anyone to use.


NiftyNet is a convolutional neural networks (CNNS) platform for research in medical image analysis and image-guided therapy, and its modular structure is designed for sharing networks and pre-trained models. It currently supports medical image segmentation and generative adversarial networks.




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The code is available via GitLab, or you can quickly get started with the PyPI module available here.


NiftyNet is an effort spanning several research groups within UCL. The research consortium is led by the Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS) and includes UCL's Centre for Medical Image Computing (CMIC) and High-dimensional Imaging Group (HIG).


NiftyNet is currently looking for additional contributors to its core development team, if you are interested then please email