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U-Net model using matrix decomposition framework proposed in Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation (https://arxiv.org/abs/2308.07251)

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U-Net model using matrix decomposition framework proposed in Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation

This repo contains code used for submission to the MICCAI 2022 BrainLes ISLES and ATLAS challenges. The repo was originally a fork of the NVIDIA nnUNet implementation (https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/nnUNet) and so the structure / format is heavily based on this, and it is recommended to use their documentation as a first point of contact.

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U-Net model using matrix decomposition framework proposed in Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation (https://arxiv.org/abs/2308.07251)

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