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nnU-Net model weights for BraTS 2020 submission

Name: nnU-Net model weights for BraTS 2020 submission
Creator: Isensee, Fabian
Keywords: semantic segmentation, deep learning, nnU-Net, U-Net, medical image analysis, brain tumor segmentation

appsOther research productkeyboard_double_arrow_right Other ORP type 25 Mar 2021Publisher:Zenodo

Authors: Isensee, Fabian;

doi: 10.5281/zenodo.4635763 , 10.5281/zenodo.4635762

nnU-Net model weights for BraTS 2020 submission

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Abstract

BraTS 2020 winning submission (segmentation task). Paper here: https://arxiv.org/abs/2011.00848 See the nnU-Net repository for information on how to use the weights (Link) Challenge Website: https://www.med.upenn.edu/cbica/brats2020/ Leaderboard: https://www.med.upenn.edu/cbica/brats2020/rankings.html

Related Organizations

German Cancer Research Center
Germany
Helmholtz Association of German Research Centres
Germany

Keywords

semantic segmentation, deep learning, nnU-Net, U-Net, medical image analysis, brain tumor segmentation

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