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Update readme with the latest nnunet link
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README.md

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## Overview
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DLMUSE uses a trained [nnUNet](https://github.com/MIC-DKFZ/nnUNet/tree/nnunetv1) model to compute the segmentation of the brain into [MUSE](https://www.med.upenn.edu/cbica/sbia/muse.html) ROIs from the nifti image of the Intra Cranial Volume (ICV - see [DLICV method](https://github.com/CBICA/DLICV)), oriented in _**LPS**_ orientation. It produces the segmented brain, along with a .csv file of the calculated volumes of each ROI.
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DLMUSE uses a trained [nnUNet](https://github.com/MIC-DKFZ/nnUNet) model to compute the segmentation of the brain into [MUSE](https://www.med.upenn.edu/cbica/sbia/muse.html) ROIs from the nifti image of the Intra Cranial Volume (ICV - see [DLICV method](https://github.com/CBICA/DLICV)), oriented in _**LPS**_ orientation. It produces the segmented brain, along with a .csv file of the calculated volumes of each ROI.
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### Installation
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