Releases: frankkramer-lab/MIScnn
Releases · frankkramer-lab/MIScnn
miscnn_v1.4
MIScnn release version 1.4
Changelog:
- Started working on foundations for multi-model support (experimental)
- Started working on a dynamic visualizer (work in progress)
- Added smoothing epsilon to Normalization Subfunction
- Added subfunction support for activation_output=True predictions
- Improved Resampling & resize performance
- Some overall quality of life improvements for activation output of predictions
- Fixed learning_rate typo in Neural_Network class
- Added Dictionary_IO support for passing pixel spacing (for resampling)
miscnn_v1.3
MIScnn release version 1.3
Changelog:
- Added multiple loss functions from Yeung et al.: Combo loss, Focal Tversky loss (symmetric and asymmetric), Focal loss (symmetric and asymmetric), Unified Focal loss (symmetric and asymmetric)
- Updated dependencies as well as fixed several issues with new module versions
- Updated to Tensorflow 2.7.0
- Added a few more examples (RetinalSeg, BraTS2020)
- Added new architectures: Attention- and Attention-Residual U-Net
miscnn_v1.2
MIScnn release version 1.2
Changelog:
- Fixed Python support only for 3.7 & 3.8 (CI/CD)
- Updated various dependencies (Tensorflow 2.5.0)
- Dropped Travis-CI support and integrated GitHub Actions
- Fixed a grayscale Image IO interface bug
- Enhanced plain U-Net architecture
- Implemented CLI interface for MIScnn
- Reworked detail storage of samples in MIScnn
- Enhanced cross-validation functionality
- Enhanced unittesting scenarios
- Fixed a bug in the DataGenerator
- Various quality of life improvements
miscnn_v1.1
MIScnn release version 1.1.
Changelog:
- Added Multi-threaded Subfunction preprocessing
- Added absolute transformation of voxel spacing in DICOM interface
- Added function for all sample loading
- Added array type transformation for preprocessed Subfunction disk storage
- Added unittesting for new features & functions
- Added tutorial for custom architectures
- Changed multi_gpu from Keras to Tensorflow MirroredStrategy
- Changed parameter of Neural Network class 'gpu_number' (integer) to 'multi_gpu' (boolean)
- Updated Tensorflow version from 2.3.0 to 2.3.1
- Updated other module dependencies
- Fixed some bugs
miscnn_v1.0
MIScnn release version 1.0.