There is a release note of NAME_1, try to extract the key updates for the release and summarized it as a promotion paragraph to developers
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Added
Hover-Net based digital pathology workflows including new network, loss, postprocessing, metric, training, and inference modules
Various enhancements for Auto3dSeg AutoRunner including template caching, selection, and a dry-run mode nni_dry_run
Various enhancements for Auto3dSeg algo templates including new state-of-the-art configurations, optimized GPU memory utilization
New bundle API and configurations to support experiment management including MLFlowHandler
New bundle.script API to support model zoo query and download
LossMetric metric to compute loss as cumulative metric measurement
Transforms and base transform APIs including RandomizableTrait and MedianSmooth
runtime_cache option for CacheDataset and the derived classes to allow for shared caching on the fly
Flexible name formatter for SaveImage transform
pending_operations MetaTensor property and basic APIs for lazy image resampling
Contrastive sensitivity for SSIM metric
Extensible backbones for FlexibleUNet
Generalize SobelGradients to 3D and any spatial axes
warmup_multiplier option for WarmupCosineSchedule
F beta score metric based on confusion matrix metric
Support of key overwriting in LambdaD
Basic premerge tests for Python 3.11
Unit and integration tests for CUDA 11.6, 11.7 and A100 GPU
DataAnalyzer handles minor image-label shape inconsistencies
Fixed
Review and enhance previously untyped APIs with additional type annotations and casts
switch_endianness in LoadImage now supports tensor input
Reduced memory footprint for various Auto3dSeg tests
Issue of @ in NAME_2.bundle.ReferenceResolver
Compatibility issue with ITK-Python 5.3 (converting itkMatrixF44 for default collate)
Inconsistent of sform and qform when using different backends for SaveImage
MetaTensor.shape call now returns a torch.Size instead of tuple
Issue of channel reduction in GeneralizedDiceLoss
Issue of background handling before softmax in DiceFocalLoss
Numerical issue of LocalNormalizedCrossCorrelationLoss
Issue of incompatible view size in ConfusionMatrixMetric
NetAdapter compatibility with Torchscript
Issue of extract_levels in RegUNet
Optional bias_downsample in ResNet
dtype overflow for ShiftIntensity transform
Randomized transforms such as RandCuCIM now inherit RandomizableTrait
fg_indices.size compatibility issue in generate_pos_neg_label_crop_centers
Issue when inverting ToTensor
Issue of capital letters in filename suffixes ch