nnU-Net model weights for COVID-19-20 submission

Name: nnU-Net model weights for COVID-19-20 submission
Creator: Isensee, Fabian
Keywords: semantic segmentation, deep learning, nnU-Net, U-Net, medical image analysis, covid lesion segmentation

Isensee, Fabian

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Other ORP type . 2021

License: CC BY

Data sources: Datacite

ZENODO

Other ORP type . 2021

License: CC BY

Data sources: ZENODO

ZENODO

Other ORP type . 2021

License: CC BY

Data sources: Datacite

nnU-Net model weights for COVID-19-20 submission

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

Authors: Isensee, Fabian;

doi: 10.5281/zenodo.4635822 , 10.5281/zenodo.4635821

nnU-Net model weights for COVID-19-20 submission

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Abstract

COVID-19-20 submission (second place on test set). See the nnU-Net repository for information on how to use the weights (Link) Challenge Website: https://covid-segmentation.grand-challenge.org/ Leaderboard: https://covid-segmentation.grand-challenge.org/Final-Ranking/

Keywords

semantic segmentation, deep learning, nnU-Net, U-Net, medical image analysis, covid lesion segmentation

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