0.4.0

Added

• niftynet.layer: new layers
  • Tversky loss function for image segmentation
  • Random affine augmentation layer
  • Random bias field augmentation layer
  • Group normalisation layer
  • Squeeze and excitation blocks
• Documentation
  • Image reader and window sampler demo
  • 2D U-net demo
  • Dense CRF layer demo
  • FAQ list
• Misc.
  • Subject id from filename with regular expression
  • Versioning with python-versioneer
  • Tested with TensorFlow 1.10

Changed

• niftynet.engine: improved core functions
  • IO modules based on tf.data.Dataset (breaking changes)
  • Decoupled the engine and event handlers
• Migrated the code repository, model zoo, and niftynet.io source code to
  github.com/niftk.