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CT-based Deep Learning Algorithm in Diagnosis and Evaluation of COVID-19：An International Multi-center Study

  • Funded by The Structural Genomics Consortium (SGC)
  • Total publications:2 publications

Grant number: C-0007

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Key facts

  • Disease

    COVID-19

  • start year

    -99

  • Known Financial Commitments (USD)

    $0

  • Funder

    The Structural Genomics Consortium (SGC)

  • Principal Investigator

    Huimao Zhang, Thorsten Persigehl

  • Research Location

    China, Germany

  • Lead Research Institution

    Jilin University, University Hospital Cologne

  • Research Priority Alignment

    N/A

  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Publicationslinked via Europe PMC

Last Updated:2 days ago

View all publications at Europe PMC

Performance of AI Approaches for COVID-19 Diagnosis Using Chest CT Scans: The Impact of Architecture and Dataset.

AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.