Resource
An optimized, robust and self-adapting framework for U-Net based medical image segmentation
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Changelog
December 2021
- Container updated to 21.11
- Use MONAI DynUNet instead of custom U-Net implementation
- Add balanced multi-gpu evaluation
- Support for evaluation with resampled volumes to original shape
October 2021
- Add Jupyter Notebook with BraTS solution
May 2021
- Add Triton Inference Server support
- Removed deep supervision, attention and drop block
March 2021
- Container updated to 21.02
- Change data format from tfrecord to npy and data loading for 2D
January 2021
- Initial release
- Add notebook with custom dataset loading
Known issues
There are no known issues in this release.