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  • [\'Department of Computer Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.\', \'Department of Biochemistry and Medical Genetics, University of Manitoba, 745 Bannatyne Avenue, Winnipeg, MB, R3E 0J9, Canada.\', \'Department of Computer Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada. pingzhao.hu@umanitoba.ca.\', \'Department of Biochemistry and Medical Genetics, University of Manitoba, 745 Bannatyne Avenue, Winnipeg, MB, R3E 0J9, Canada. pingzhao.hu@umanitoba.ca.\', \'CancerCare Manitoba Research Institute, CancerCare Manitoba, Winnipeg, MB, R3E 0W3, Canada. pingzhao.hu@umanitoba.ca.\']
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  • 10.1186/s12967-021-02992-2
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  • Journal of translational medicine
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  • 34311742
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  • 81
?:title
  • Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19.
?:type
?:year
  • 2021

Metadata

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