Added

• Overview of new features in v0.8
• Network modules for differentiable neural network topology search (DiNTS)
• Multiple Instance Learning transforms and models for digital pathology WSI analysis
• Vision transformers for self-supervised representation learning
• Contrastive loss for self-supervised learning
• Finalized major improvements of 200+ components in monai.transforms to support input and backend in PyTorch and NumPy
• Initial registration module benchmarking with GlobalMutualInformationLoss as an example
• monai.transforms documentation with visual examples and the utility functions
• Event handler for MLfLow integration
• Enhanced data visualization functions including blend_images and matshow3d
• RandGridDistortion and SmoothField in monai.transforms
• Support of randomized shuffle buffer in iterable datasets
• Performance review and enhancements for data type casting
• Cumulative averaging API with distributed environment support
• Module utility functions including require_pkg and pytorch_after
• Various usability enhancements such as allow_smaller when sampling ROI and wrap_sequence when casting object types
• tifffile support in WSIReader
• Regression tests for the fast training workflows
• Various tutorials and demos including educational contents at MONAI Bootcamp 2021

Changed

• Base Docker image upgraded to nvcr.io/nvidia/pytorch:21.10-py3 from nvcr.io/nvidia/pytorch:21.08-py3
• Decoupled TraceKeys and TraceableTransform APIs from InvertibleTransform
• Skipping affine-based resampling when resample=False in NiftiSaver
• Deprecated threshold_values: bool and num_classes: int in AsDiscrete
• Enhanced apply_filter for spatially 1D, 2D and 3D inputs with non-separable kernels
• Logging with logging in downloading and model archives in monai.apps
• API documentation site now defaults to stable instead of latest
• skip-magic-trailing-comma in coding style enforcements
• Pre-merge CI pipelines now include unit tests with Nvidia Ampere architecture

Removed

• Support for PyTorch 1.5
• The deprecated DynUnetV1 and the related network blocks
• GitHub self-hosted CI/CD pipelines for package releases

Fixed

• Support of path-like objects as file path inputs in most modules
• Issue of decollate_batch for dictionary of empty lists
• Typos in documentation and code examples in various modules
• Issue of no available keys when allow_missing_keys=True for the MapTransform
• Issue of redundant computation when normalization factors are 0.0 and 1.0 in ScaleIntensity
• Incorrect reports of registered readers in ImageReader
• Wrong numbering of iterations in StatsHandler
• Naming conflicts in network modules and aliases
• Incorrect output shape when reduction="none" in FocalLoss
• Various usability issues reported by users