An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. Adapt existing networks to your imaging data. Quickly build new solutions to your own image analysis problems. NiftyNet currently supports medical image segmentation and generative adversarial networks. NiftyNet is not intended for clinical use.
Features
- Easy-to-customise interfaces of network components
- Sharing networks and pre-trained models
- Support for 2-D, 2.5-D, 3-D, 4-D inputs
- Efficient discriminative training with multiple-GPU support
- Implementation of recent networks (HighRes3DNet, 3D U-net, V-net, DeepMedic)
- Comprehensive evaluation metrics for medical image segmentation
License
Apache License V2.0Follow NiftyNet
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