@@ -6,6 +6,25 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
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## [ Unreleased]
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+ ## [ 0.3.0] - 2018-05-15
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+ ### Added
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+ * Support for 2D image loading optionally using ` skimage ` , ` pillow ` , or ` simpleitk `
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+ * Image reader and sampler with ` tf.data.Dataset `
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+ * Class-balanced image window sampler
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+ * Random deformation as data augmentation with SimpleITK
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+ * Segmentation loss with dense labels (multi-channel binary labels)
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+ * Experimental features:
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+ - learning-based registration
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+ - image classification
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+ - model evaluation
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+ - new engine design with observer pattern
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+
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+ ### Deprecated
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+ * Deprecating the [ CmicLab] [ cmiclab ] repository in favour of [ GitHub] [ github ]
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+
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+ [ cmiclab ] : https://cmiclab.cs.ucl.ac.uk/CMIC/NiftyNet
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+ [ github ] : https://github.com/NifTK/NiftyNet
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+
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## [ 0.2.2] - 2018-01-30
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### Added
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* Improvements for running validation iterations during training
@@ -56,7 +75,8 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.
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### Fixed
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* Bugs in data augmentation, I/O, sampler
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- [ Unreleased ] : https://github.com/NifTK/NiftyNet/compare/v0.2.2...HEAD
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+ [ Unreleased ] : https://github.com/NifTK/NiftyNet/compare/v0.3.0...HEAD
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+ [ 0.3.0 ] : https://github.com/NifTK/NiftyNet/compare/v0.2.2...v0.3.0
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[ 0.2.2 ] : https://github.com/NifTK/NiftyNet/compare/v0.2.1...v0.2.2
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[ 0.2.1 ] : https://github.com/NifTK/NiftyNet/compare/v0.2.0.post1...v0.2.1
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[ 0.2.0 ] : https://github.com/NifTK/NiftyNet/compare/v0.1.1...v0.2.0.post1
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