Added

• Support of monai.data.MetaTensor as core data structure across the modules
• Support of inverse in array-based transforms
• monai.apps.TciaDataset APIs for The Cancer Imaging Archive (TCIA) datasets, including a pydicom-backend reader
• Initial release of components for MRI reconstruction in monai.apps.reconstruction, including various FFT utilities
• New metrics and losses, including mean IoU and structural similarity index
• monai.utils.StrEnum class to simplify Enum-based type annotations

Changed

• Base Docker image upgraded to nvcr.io/nvidia/pytorch:22.06-py3 from nvcr.io/nvidia/pytorch:22.04-py3
• Optionally depend on PyTorch-Ignite v0.4.9 instead of v0.4.8

Fixed

• Fixed issue of not skipping post activations in Convolution when input arguments are None
• Fixed issue of ignoring dropout arguments in DynUNet
• Fixed issue of hard-coded non-linear function in ViT classification head
• Fixed issue of in-memory config overriding with monai.bundle.ConfigParser.update
• 2D SwinUNETR incompatible shapes
• Fixed issue with monai.bundle.verify_metadata not raising exceptions
• Fixed issue with monai.transforms.GridPatch returns inconsistent type location when padding
• Wrong generalized Dice score metric when denominator is 0 but prediction is non-empty
• Docker image build error due to NGC CLI upgrade
• Optional default value when parsing id unavailable in a ConfigParser instance
• Immutable data input for the patch-based WSI datasets

Deprecated

• *_transforms and *_meta_dict fields in dictionary-based transforms in favor of MetaTensor
• meta_keys, meta_key_postfix, src_affine arguments in various transforms, in favor of MetaTensor
• AsChannelFirst and AddChannel, in favor of EnsureChannelFirst transform