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# ImgX-DiffSeg
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ImgX-DiffSeg is a Jax-based deep learning toolkit using Flax for biomedical image segmentations.
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ImgX-DiffSeg is a Jax-based deep learning toolkit (now using Flax) for biomedical image
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segmentation.
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This repository includes the implementation of the following work
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This repository currently includes the implementation of the following work
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- [A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models](https://arxiv.org/abs/2308.16355)
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- [Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation](https://arxiv.org/abs/2303.06040)
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:construction: **The codebase is still under active development for more enhancements and
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applications.** :construction:
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:mailbox: Please feel free to
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[create an issue](https://github.com/mathpluscode/ImgX-DiffSeg/issues/new/choose) to request
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features or [reach out](https://orcid.org/0000-0002-1184-7421) for collaborations. :mailbox:
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<div>
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<img src="images/diffusion_training_strategy_diagram.png" width="600" alt="diffusion_training_strategy_diagram"></img>
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</div>

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