Multi-task NiftyNet

NiftyNet is a [TensorFlow][tf]-based open-source convolutional neural networks (CNN) 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

Code to support multi-task algorithms/methods developed by Felix Bragman (UCL/KCL)

• Uncertainty estimation and spatially adaptive weighting in multi-task learning
• Multi-input multi-task learning
• Probabilistic multi-task architecture learning

Demos for specific papers will be hosted elsewhere. TBC..