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7017 update highlights page for v1.3 (#7051)
part of #7017 ### Types of changes <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [x] Non-breaking change (fix or new feature that would not break existing functionality). - [ ] Breaking change (fix or new feature that would cause existing functionality to change). - [ ] New tests added to cover the changes. - [ ] Integration tests passed locally by running `./runtests.sh -f -u --net --coverage`. - [ ] Quick tests passed locally by running `./runtests.sh --quick --unittests --disttests`. - [ ] In-line docstrings updated. - [ ] Documentation updated, tested `make html` command in the `docs/` folder. --------- Signed-off-by: Wenqi Li <wenqil@nvidia.com>
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# What's new in 1.2 πŸŽ‰πŸŽ‰
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# What's new in 1.2
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- Auto3DSeg enhancements and benchmarks
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- nnUNet integration

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# What's new in 1.3 πŸŽ‰πŸŽ‰
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- Bundle usability enhancements
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- Integrating MONAI Generative into MONAI core
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# Bundle usability enhancements
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Based on the experience of building MONAI model zoo and the feedback from the community,
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MONAI 1.3 provides major enhancements in MONAI Bundle usability. These include:
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- Pythonic APIs for Bundle trying to strike a balance between code readability and workflow standardization;
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- Streamlined Bundle building processes with step-by-step guides to the concepts;
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- Various utility functions for fetching and fine-tuning models from [MONAI Model Zoo](https://github.com/Project-MONAI/model-zoo);
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- Various fixes for Bundle syntax and documentation, improved test coverage across the Bundle module and Model Zoo.
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For more details please visit [the Bundle tutorials](https://github.com/Project-MONAI/tutorials/tree/main/bundle) and
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[the Model Zoo demos](https://github.com/Project-MONAI/tutorials/tree/main/model_zoo).
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# Integrating MONAI Generative into MONAI Core
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Main modules developed at [MONAI GenerativeModels](https://github.com/Project-MONAI/GenerativeModels)
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are being ported into the core codebase, allowing for consistent maintenance and release of the key components for generative AI.
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As a starting point, loss functions and metrics are integrated into this version.

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