NiftyNet

NiftyNet: a deep-learning platform for medical imaging. NiftyNet is a TensorFlow-based open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. NiftyNet is a consortium of research organisations (BMEIS – School of Biomedical Engineering and Imaging Sciences, King’s College London; WEISS – Wellcome EPSRC Centre for Interventional and Surgical Sciences, UCL; CMIC – Centre for Medical Image Computing, UCL; HIG – High-dimensional Imaging Group, UCL), where BMEIS acts as the consortium lead.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
Sorted by year (citations)

  1. Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger: pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis (2020) arXiv
  2. Fernando Pérez-García, Rachel Sparks, Sebastien Ourselin: TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning (2020) arXiv
  3. Frank Mancolo: Eisen: a python package for solid deep learning (2020) arXiv