Added

• monai.auto3dseg base APIs and monai.apps.auto3dseg components for automated machine learning (AutoML) workflow
• monai.fl module with base APIs and MonaiAlgo for federated learning client workflow
• An initial backwards compatibility guide
• Initial release of accelerated MRI reconstruction components, including CoilSensitivityModel
• Support of MetaTensor and new metadata attributes for various digital pathology components
• Various monai.bundle enhancements for MONAI model-zoo usability, including config debug mode and get_all_bundles_list
• new monai.transforms components including SignalContinuousWavelet for 1D signal, ComputeHoVerMaps for digital pathology, and SobelGradients for spatial gradients
• VarianceMetric and LabelQualityScore metrics for active learning
• Dataset API for real-time stream and videos
• Several networks and building blocks including FlexibleUNet and HoVerNet
• MeanIoUHandler and LogfileHandler workflow event handlers
• WSIReader with the TiffFile backend
• Multi-threading in WSIReader with cuCIM backend
• get_stats API in monai.engines.Workflow
• prune_meta_pattern in monai.transforms.LoadImage
• max_interactions for deepedit interaction workflow
• Various profiling utilities in monai.utils.profiling

Changed

• Base Docker image upgraded to nvcr.io/nvidia/pytorch:22.08-py3 from nvcr.io/nvidia/pytorch:22.06-py3
• Optionally depend on PyTorch-Ignite v0.4.10 instead of v0.4.9
• The cache-based dataset now matches the transform information when read/write the cache
• monai.losses.ContrastiveLoss now infers batch_size during forward()
• Rearrange the spatial axes in RandSmoothDeform transforms following PyTorch's convention
• Unified several environment flags into monai.utils.misc.MONAIEnvVars
• Simplified __str__ implementation of MetaTensor instead of relying on the __repr__ implementation

Fixed

• Improved error messages when both monai and monai-weekly are pip-installed
• Inconsistent pseudo number sequences for different num_workers in DataLoader
• Issue of repeated sequences for monai.data.ShuffleBuffer
• Issue of not preserving the physical extent in monai.transforms.Spacing
• Issue of using inception_v3 as the backbone of monai.networks.nets.TorchVisionFCModel
• Index device issue for monai.transforms.Crop
• Efficiency issue when converting the array dtype and contiguous memory

Deprecated

• Addchannel and AsChannelFirst transforms in favor of EnsureChannelFirst
• monai.apps.pathology.data components in favor of the corresponding components from monai.data
• monai.apps.pathology.handlers in favor of the corresponding components from monai.handlers

Removed

• Status section in the pull request template in favor of the pull request draft mode
• monai.engines.BaseWorkflow
• ndim and dimensions arguments in favor of spatial_dims
• n_classes, num_classes arguments in AsDiscrete in favor of to_onehot
• logit_thresh, threshold_values arguments in AsDiscrete in favor of threshold
• torch.testing.assert_allclose in favor of tests.utils.assert_allclose