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@wyli wyli released this 25 Jul 18:28
· 1134 commits to dev since this release
0.9.1
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Learn about vigilant mode.

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
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