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To better align nnUNet with the MONAI ecosystem, including tools like MONAI Label and MONAIAlgo for FL in NVFlare, it would be highly beneficial to support wrapping nnUNet models within a MONAI Bundle. This integration would better integrate nnUNet models with other MONAI ecosystem applications—like MONAI Label and MONAIAlgo for FL in NVFlare—which already support the MONAI Bundle. With this enhancement, any model trained natively using nnUNet could be converted into a MONAI Bundle for seamless deployment at inference time in downstream tasks.
Additionally, this bundle could also be used during training, providing an alternative to the current native nnUNet and nnUNetV2Runner implementations in MONAI.
The text was updated successfully, but these errors were encountered:
To better align nnUNet with the MONAI ecosystem, including tools like MONAI Label and MONAIAlgo for FL in NVFlare, it would be highly beneficial to support wrapping nnUNet models within a MONAI Bundle. This integration would better integrate nnUNet models with other MONAI ecosystem applications—like MONAI Label and MONAIAlgo for FL in NVFlare—which already support the MONAI Bundle. With this enhancement, any model trained natively using nnUNet could be converted into a MONAI Bundle for seamless deployment at inference time in downstream tasks.
Additionally, this bundle could also be used during training, providing an alternative to the current native nnUNet and nnUNetV2Runner implementations in MONAI.
The text was updated successfully, but these errors were encountered: